Modular,Multi purpose,Smart Soccer Rebounder LED display,Multi-source AI with Real -Time feedback,performance Tracking and Skill Development

Abstract

The invention presents an advanced soccer training system designed to revolutionize traditional practice methods through a synergy of technology and interactivity. It features an integration of sensors, Artificial Intelligence, and Augmented Reality technologies, providing real-time feedback, immersive simulations, and personalized training experiences. The system promotes skill development via data-driven insights and dynamic training environments, supported by mobile application connectivity for customized training regimens and performance analysis. Additional attributes include energy-efficient design, user-friendly transport mechanisms, and extensive multimedia capabilities like video recording and photo capture for skill review, establishing a novel paradigm in athletic training and development.

Claims

1. An interactive soccer training system and device comprising: a plurality of integrated sensors for tracking and analyzing user performance metrics, including movements and ball trajectory; an artificial intelligence (AI) module configured to process performance metrics in real-time, providing personalized feedback and adaptive training recommendations; Augmented Reality (AR) capability for immersive, interactive training experiences and game scenario simulations; a communications module facilitating inter-device connectivity, supporting synchronous multi-unit environments and wearable integration for single or group training environments; and an integrated power management system that optimizes energy usage, extends battery life, and enables autonomous, off-grid operation through advanced solar charging technology and an AI-powered energy optimization module that analyzes solar and battery data for efficient power allocation and usage.

2. The soccer training device as claimed in claim 1, wherein the AI and machine learning algorithms analyze performance data, deliver customized feedback, adjust training modules based on user proficiency and progression, generate context-aware, natural language audio feedback and coaching recommendations based on real-time analysis of player movements and ball tracking data, utilize transfer learning to rapidly adapt AI models to new users for quick skill assessment and personalized feedback, and employ anomaly detection techniques to identify deviations from optimal technique or movement patterns, facilitating targeted feedback and recommendations.

3. A system for use with the soccer training device of claim 1, wherein a set of wearable impact sensors are configured to precisely detect and transmit data on which foot strikes the ball at any given time during use and training, the wearable impact sensors provide data on kicking technique and other relevant biomechanics, a haptic feedback mechanism is integrated into the wearable, and advanced inertial measurement units (IMUs) are used in the wearables to provide detailed data on foot movement, leg swing arc, and other biomechanical parameters for comprehensive analysis and feedback generation.

4. The soccer training device as claimed in claim 1, further comprising: customizable LED displays and interactive lighting for dynamic training guidance; a light sensor system utilizing photodiodes, photo capacitors, and photoresistors to register ball impacts and facilitate user interaction; and the synchronization of audio cues with the visual LED guidance and AR elements to create cohesive, immersive training experiences that enhance learning and retention, wherein the timing and content of the audio feedback is optimized by AI based on user attention, cognitive load, and specific training context.

5. The soccer training device as claimed in claim 1, wherein the AR module simulates realistic game environments and training challenges, integrates with AR wearables, seamlessly integrating virtual elements into the physical training space, enriching the physical training space with virtual game elements, and incorporates AI-driven adaptive difficulty adjustment and dynamic training scenario generation based on player performance and progress within the AR environment.

6. The soccer training device as claimed in claim 1, wherein the rebounder has wheels on both ends for easy portability, movement, or relocation suitable for diverse terrains; features retractable and foldable or bendable handles for easy carrying and stabilization when in use or training; includes integrated compartments for electricals, and storage of sports and personal essentials, wherein access to the internal compartments is facilitated by a zipper mechanism and a coupling system that ensures secure closure during dynamic activities and transport; and the modular and portable design, along with the secure storage solutions, allows for easy transportation, setup, and adaptation to various training locations without the need for dedicated infrastructure while safely housing essential equipment and belongings.

7. The soccer training device as claimed in claim 1, including integrated solar panels for autonomous energy harvesting and battery charging, an energy system for efficient energy management and sustainable operation, a kinetic energy collection system utilizing piezoelectric sensors for sustainable operation, and intelligent power allocation and energy optimization algorithms that adapt to usage patterns, environmental conditions, and training demands to ensure efficient and sustainable operation.

8. The soccer training device as claimed in claim 1, further comprising a mobile application or software allowing users to customize training sessions, enabling remote control, performance data visualization, media editing and sharing, and user profile management; programmable difficulty levels and training modes, including the creation of user-defined light sequences as targets and training games; and the incorporation of AI-powered data analytics and visualization tools within the mobile application to provide users with detailed insights, performance trends, and personalized improvement recommendations.

9. The soccer training device as claimed in claim 1, further comprising strategically placed LiDAR and motion sensors for comprehensive data collection on players' full body movements and other athletic biomechanical data, and the fusion of data from multiple sensors, including LiDAR sensors, cameras and wearables, to create a comprehensive, 360-degree understanding of player movements and enable precise, real-time feedback generation.

10. The soccer training device as claimed in claim 1, further comprising integrated capabilities for video recording and photography, supporting direct sharing and analysis via associated software, and the integration of AI-driven video analysis capabilities to automatically highlight key moments, generate performance metrics, and provide actionable insights based on the captured media content.

11. The soccer training device as claimed in claim 1, including coordinated and synchronized LED lighting and auditory signals for immersive training scenarios, replicating game-like conditions during solo or multiplayer training, and the use of advanced audio processing techniques, such as beam-forming and noise cancellation, to ensure clear and intelligible audio feedback even in noisy outdoor environments.

12. The soccer training device as claimed in claim 1, enabling a media uploading and customization module enabling users to incorporate personalized visual elements into target sequences and displayed content, allowing educational content or gamification of the rebounder, and the ability to integrate third-party content, such as training drills, tactical simulations, and interactive games, into the rebounder's display system to enhance the versatility and engagement of the training experience.

13. A system for use with the soccer training device as claimed in claim 1, wherein an upright docking station and charging dock are provided for secure storage and charging of the rebounder when not in use, and the incorporation of smart features in the docking station, such as automatic software updates, data synchronization, and diagnostic checks, to ensure optimal performance and reliability of the rebounder.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In preparation for the presentation of the accompanying drawings, it's imperative to highlight that the forthcoming details, alongside other characteristics of this disclosure, will be elucidated with greater clarity and precision. These illustrations are intended to serve as exemplars, not constraints, thereby underlining the breadth and versatility of the disclosure. By employing the figures within the accompanying drawings as illustrative examples, we aim to convey the inventive concepts with specificity and detail, without implying limitation. It is important to note that similar elements across various embodiments are consistently identified by identical reference numerals, ensuring clarity and ease of understanding. These drawings are crafted to illuminate, not confine, the scope of the present technology, offering insights into the advantages and aspects of the invention through selected embodiments. This approach not only facilitates a comprehensive understanding of the invention but also underscores its potential applicability and innovation.

[0009] FIG. 1 displays an exploded view of the rebounder in its operating position, highlighting its surface featuring a full-length screen shield, an LED screen with integrated timer and speaker, wheels and retractable, foldable handles for mobility, a solar charging panel, cameras, impact and motion sensors, and a zipper mechanism.

[0010] FIG. 2 depicts an isometric view of an alternative version of the rebounder in its operating position, showcasing LED lights along its perimeter within channels, equipped with impact sensors, a camera, and a rebounding screen shield.

[0011] FIG. 3A shows the back side view of the rebounder during transportation and its bottom view when set up for use, emphasizing the full-length grooves designed to enhance friction and minimize movement from impacts.

[0012] FIG. 3B presents an isometric view of the rebounder in transport mode, featuring a closed lid, solar panels, a zipper mechanism, and a coupling system for secure closure.

[0013] FIG. 4 displays the rebounder with its lid open, revealing internal compartments including waterproof sections for electrical components and batteries, as well as storage spaces designated for fluid, equipment, and first aid supplies, complemented by hinges and a coupling mechanism for secure closure.

[0014] FIG. 5A showcases a shoe clip equipped with impact sensors, inertial sensors, accelerometers, gyroscopes, flash memory, and a battery, designed to monitor foot usage and biomechanical data.

[0015] FIG. 5B depicts a shoe sleeve with slots for impact shoe sensors and integrated haptic or tactile feedback motors.

[0016] FIG. 5C depicts a shoe clip and haptic feedback motors housed in a shoe sleeve and worn over a soccer cleat.

[0017] FIG. 6A depicts several full LED screen or end to end LED screen rebounders connected wirelessly, each sequentially displaying targets for users to engage with, either with or without AR headsets, allowing for the incorporation of virtual elements alongside the physical structure of the rebounders.

[0018] FIG. 6B depicts several perimeter LED rebounders connected wirelessly, each featuring LED strips along the edges. These LEDs display targets in sequence, illuminating sections of a rebounder as the user aims to hit each target in sequence.

[0019] FIG. 7A presents an isometric perspective of the rebounder, highlighting one end, the left side of the device which includes a speaker, power button, power indicator, USB ports, and a charging port.

[0020] FIG. 7B presents an isometric perspective of the rebounder, highlighting one end, the right side of the device that features a battery level indicator and a timer or clock.

[0021] FIG. 8 depicts a docking station designed for the vertical storage and charging of the rebounder, which includes a battery level indicator and a charging port.

[0022] FIG. 9 displays a system flow chart of the AI driven dynamic LED system.

[0023] FIG. 10 displays a system flowchart for the shoe clip impact sensor system.

[0024] FIG. 11 displays a sensor data collection, processing, feedback generation and delivery system.

[0025] FIG. 12 illustrates the integration of cutting edge sensors, computer vision system, machine learning and NLP technologies to give the rebounder dynamic real time audio feedback.

[0026] FIG. 13 displays a flow chart for energy and power regulation mechanisms.

[0027] FIG. 14A shows the mobile application interface for controlling the user settings, rebounder settings, AI connectivity, power management, and functionality of the rebounder from connectivity to analytics.

[0028] FIG. 14B shows the mobile application interface that displays AI analysis of kinematic data in soccer players.

[0029] FIG. 14C illustrates a mobile application interface that displays the stages of AI architecture for real-time analysis.

[0030] FIG. 14D illustrates a mobile application interface, displaying AI-driven analyses across various categories of drills for multiple players, along with performance scores.

[0031] FIG. 14E showcases a mobile application interface that employs various artificial intelligence techniques for data collection.

[0032] FIG. 15 depicts the artificial intelligence/machine learning ecosystem integrated within the smart soccer rebounder.

[0033] FIG. 16 depicts the augmented reality/virtual reality communication protocols employed for interaction with the rebounder, detailing the internal procedures for communication and the rendering of desired outcomes.

[0034] FIG. 17 presents a high level overview flowchart showing the shoe clip's impact sensor and its communication protocol with the smart rebounder and the subsequent delivery of feedback to the user . . .

DETAILED DESCRIPTION

[0035] In this specification, certain terms may be used interchangeably to describe specific components or features of the invention. Such interchangeable use is intended to encompass all variations, derivatives, and alternative terminology that may be used to describe the same or similar functionality of the invention components. This includes, but is not limited to, terms describing the device's various compartments, sensors, interfaces, and structural elements as detailed in the specification and illustrated in the accompanying drawings.

[0036] For example, the terms, invention, smart soccer rebounder, device, rebounder, the system and rebounder system are used interchangeably herein to refer to the soccer training apparatus disclosed in this specification and its associated components, features, and functionalities.

[0037] The terms impact sensor shoe clip, wearable, and IMU are used synonymously to refer to the wearable sensor device designed to be attached to a user's shoe or attached to or slid into a shoe sleeve, comprising various sensors such as piezoelectric film sensors, accelerometers, gyroscopes, and magnetometers, for detecting and measuring foot-ball interactions and user movements.

[0038] The terms AR headset, AR glasses, AR technology, and AR overlays are used interchangeably to describe the augmented reality display devices consisting of hardware and software components configured with the smart soccer rebounder system, which provide users with an immersive, interactive, and enhanced training experience by adding digital or virtual elements to physical spaces.

[0039] The terms upper lid, upper cover, and dome shaped upper cover refer to the top portion of the smart soccer rebounder apparatus, which serves as a protective cover and can be opened to access internal compartments.

[0040] The terms electrical/CPU compartments, microcontroller, CPU enclosure, AI system enclosure, and system enclosure are used synonymously to denote the designated spaces within the smart soccer rebounder apparatus that house the electronic components, such as the central processing unit, microcontrollers, artificial intelligence systems and other electronic components responsible for the device's intelligent functions.

[0041] The terms battery compartments and battery and charge controller enclosure refer to the designated spaces within the smart soccer rebounder apparatus that house the energy storage components, such as rechargeable batteries and associated charge control systems.

[0042] The terms friction ridges and grooves are used interchangeably to describe the surface features on the smart soccer rebounder apparatus designed to provide traction and stability during use.

[0043] The terms inner handle and outer handle refer to the components of the handle mechanism on the smart soccer rebounder apparatus, which are designed to fold and lock into each other for easy transport, storage and stability of the rebounder during use.

[0044] The terms solar panels, solar energy collection system, photovoltaic cells, and solar energy are used synonymously to describe the components and systems integrated into the smart soccer rebounder apparatus for harnessing solar power to charge the device's rechargable batteries.

[0045] The terms soccer ball circular storage, circular depression, and circular recess refer to the designated space within the smart soccer rebounder apparatus designed to securely hold a soccer ball.

[0046] The terms zipper mechanism and zipper are used interchangeably to describe the fastening system employed on the smart soccer rebounder apparatus to access internal compartments and components.

[0047] The terms latch and coupling mechanism refer to the components used to secure and fasten various parts of the smart soccer rebounder apparatus together during use and transportation.

[0048] The terms light dependent sensors, photodiodes, photoresistors, and photo capacitors are used synonymously to describe the sensors integrated into the smart soccer rebounder apparatus that detect and measure light intensity and variations and are used for various sensing and feedback purposes.

[0049] The terms LED screen, LED display, Full screen LED, and end to end LED Screen are used interchangeably to refer to the light-emitting diode display components integrated into the smart soccer rebounder apparatus, which provide visual feedback, cues, and interactive elements to users during training sessions. However, this term is not limiting, as it also refers to all devices capable of displaying images and graphics, including but not limited to LCD, Plasma, OLED, and other display technologies that serve the same purpose and functionality within the smart soccer rebounder system.

[0050] The terms LED Channels, peripheral LED, and perimeter LED lights refer to the light-emitting diode components arranged around the perimeter of the smart soccer rebounder apparatus, used for providing visual cues and feedback to users.

[0051] The terms camera, photo capture, and motion capture are used synonymously to describe the image and video capture components integrated into the smart soccer rebounder apparatus, used for recording and analyzing user performance and movements.

[0052] The terms LED screen shield, LED cover and rebounding surface refer to the primary area of ball impacts or rebounding surface and also a protective covering or layer placed over the LED display components of the smart soccer rebounder apparatus. This is transparent and in some other variations translucent and made from plexiglass or materials that have the same properties and functionality to prevent damage and ensure durability of the rebounder. It is securely attached to the rebounder using fasteners, glue, epoxy, or other bonding agents.

[0053] The terms charging port and electric charging port are used interchangeably to describe the interface on the smart soccer rebounder apparatus used for connecting the device to an external power source for charging the internal batteries.

[0054] The terms speaker and audio output refer to the sound-producing components integrated into the smart soccer rebounder apparatus, used for providing auditory feedback, cues, and instructions to users during training sessions.

[0055] The terms piezoelectric sensor and piezoelectric film sensors are used synonymously to describe the pressure-sensitive sensors integrated into the smart soccer rebounder apparatus and wearable shoe clip sensor, used for detecting and measuring foot-ball interactions and impact forces.

[0056] The terms sleeves for sensors and sleeves refer to the protective coverings or housings used to encase and secure the various sensors integrated into the wearable shoe clip sensor.

[0057] The terms haptic sensors and tactile feedback are used interchangeably to describe the components integrated into the sleeves and wearable shoe clip sensor that provide touch-based feedback and sensations to users during training sessions.

[0058] The term the system is used to refer to the collective components, features, and functionalities of the smart soccer rebounder apparatus and its associated elements, including but not limited to sensors, processors, artificial intelligence systems, and software algorithms, working together to provide the desired soccer training experience.

[0059] It is important to note that the use of different terms to describe the same components or features is intended to provide clarity and convenience in understanding the various aspects of the invention. The interchangeable use of these terms does not limit the scope of the invention to specific embodiments, and any reference to a particular term should be understood to encompass all related and interchangeable terms as described herein.

[0060] Throughout this document, the words include, includes, and including are used in an open-ended, non-limiting sense, indicating that additional, unmentioned elements may be present. References to one embodiment or an embodiment are understood to describe a particular instance or implementation of the invention, without necessarily limiting the scope of the invention to that specific embodiment.

[0061] The word or should be interpreted in its inclusive sense, meaning either or both of the referenced items, unless explicitly stated otherwise. For example, A or B should be understood as meaning A, B or both A and B.

[0062] The singular forms a, an, and the are intended to include the plural forms as well, unless the context clearly indicates otherwise. The term or is used in an inclusive sense, meaning and/or, unless expressly stated otherwise.

[0063] The terms associated, associated with, and associating are used to describe a relationship between elements, indicating that the elements are connected or interact with each other, either directly or indirectly. This connection or interaction does not necessarily imply a physical connection, as the relationship may be based on functional, logical, or other types of associations.

[0064] In the context of drawings or diagrams, identical reference numbers are used to designate the same or similar components across different views or embodiments. Unless otherwise specified, the drawings and illustrations are not necessarily to scale, and the dimensions, proportions, and relative sizes of the elements may be adjusted for clarity or convenience.

[0065] The term module, as used in this document, refers to a functional unit or component of the invention that performs a specific task or operation. A module may be implemented in hardware, software, firmware, or any combination thereof. Examples of modules include, but are not limited to, sensor modules, AI modules, processing modules, communication modules, and power management modules.

[0066] By using these terms and conventions consistently throughout the specification, the invention aims to provide a clear, concise, and easily understandable description of its various components, features, and functionalities. The interchangeable use of terms is intended to capture the full scope of the invention while avoiding ambiguity or confusion arising from variations in terminology.

[0067] This invention, termed the Smart Soccer Rebounder, represents a significant leap forward in this field. It not only incorporates the basic rebounding mechanism but also integrates advanced technology to enhance training efficiency and effectiveness. Unlike its predecessors, this invention offers a comprehensive training tool that provides real-time feedback, adaptive training modes, and a variety of programmable scenarios to simulate game-like conditions.

[0068] The primary objectives of the Smart Soccer Rebounder are to offer an interactive training experience that goes beyond mere ball rebounding, provide measurable and actionable feedback to users, enabling focused skill development, and enhance training versatility and adaptability to cater to a wide range of skill levels and training needs.

[0069] The forthcoming claims are meticulously crafted to encompass the unique aspects of the Smart Soccer Rebounder. These claims address the novel integration of technology for interactive training, the adaptability of the rebounder to various training scenarios, and the advanced feedback mechanisms that set this invention apart from existing market offerings. The invention pertains to the technical field of sports training equipment, with a specific focus on soccer training aids. It combines elements of mechanical design, electronic interfacing, and software integration to provide a holistic training solution.

[0070] The Smart Soccer Rebounder distinguishes itself from existing solutions in several key aspects: interactive training, the use of Artificial Intelligence and Machine Learning for advanced feedback, and versatile training modes that include Virtual and Augmented reality. Unlike static rebound nets or boards, this invention offers an interactive experience with programmable scenarios, adapting to the user's skill level and training goals. Incorporating sensors and software analytics, the invention provides detailed feedback on ball speed, trajectory, accuracy, foot use detection and impact precision, a feature absent in the existing products. The device supports a variety of training modes, from basic rebound exercises to complex drills involving agility, accuracy, and speed, catering to both individual and team training needs. By addressing these gaps in the current market, the Smart Soccer Rebounder offers a comprehensive, all-encompassing solution for soccer training, marking a significant advancement in the field of soccer training equipment.

Construction and Transportability Attributes

[0071] The present invention relates to a smart soccer rebounder 10, characterized by a distinct egg-shaped or semi-oval configuration, complemented by an upper cover or lid 105 that completes the semi oval look when closed. The invention 10, as illustrated FIG. 4 is outfitted with internal compartments (110, 115, 120, 155, 160) crafted for specific functions. Notably, it includes hydration storage 110, for accommodating two 24-ounce containers for liquids, and a compartment 155 designed for medical supplies such as adhesive bandages, cardiac monitors, and epinephrine autoinjectors. Furthermore, additional storage spaces 160 are provided for soccer-related attire and gear, such as footwear, shin guards, hosiery, and team uniforms, ensuring a comprehensive solution for athlete equipment management.

[0072] Central to the invention's 10 design is a soccer ball holding feature, manifested as a circular recess 150 located in the middle of the base of the semi oval upper lid 105. The other half of the storage is a circular depression 150 located in the middle of the bottom half of the rebounder surrounded by storage compartments (110,115,120,155,160) of the rebounder 10, which securely retains a soccer ball or any analogous spherical item. This central ball repository is instrumental in augmenting the rebounder's 10 stability both during operation and transportation.

[0073] The invention 10 as illustrated in FIG. 4, incorporates watertight compartments 115 and 120 for essential electronic apparatus. Specifically, compartment 115 accommodates the central processing unit (CPU), which orchestrates operations including auditory output, illumination, Bluetooth and Wi-Fi connectivity, alongside artificial intelligence and machine learning components. Compartment 120 is allocated for energy storage cells, either Nickel-Metal Hydride or Lithium-ion (NiMH or Li-ion), enabling extended usage and is equipped with photovoltaic charging capabilities via solar panels 145. A junction casing, equipped with internal and external buffers, is implemented to shield the electronic elements within compartments 115 and 120 from mechanical stress and impacts, thus preserving the integrity of electronic components and power units.

[0074] Regarding construction materials and methods, the rebounder 10 may be fabricated from High-Density Polyethylene (HDPE) and reinforced with lightweight carbon fiber, utilizing manufacturing processes such as 3D printing, injection molding, extrusion, additive manufacturing, and carbon fiber forming. This methodology ensures the product's resilience and resistance to adverse weather conditions.

[0075] For enhanced mobility, as illustrated in FIGS. 1-4 the invention 10 integrates wheels 125, on both ends of the rebounder 10 facilitating maneuverability and stability with a minimal ground clearance of 16 mm. Access to the internal compartments is afforded through a zippered mechanism 165, and robust couplings 170 secure the semi oval shaped cover or upper lid 105 to the base, ensuring both structural integrity and a reliable closure during dynamic activities and transport.

[0076] As illustrated in FIGS. 1-3 the retractable, adjustable and bendable or foldable carrying handles 135, 140 are strategically placed above the wheels 125 to improve transportability, supporting dual-person handling or angled movement in solo use situations. In solo use, the external handle 140 permits the invention 10 to be tilted and drawn, while the corresponding wheels 125 ensure smooth ground traversal. This ergonomic design significantly reduces the physical effort required for transportation effectively minimizing the risk of injury.

[0077] FIG. 3 Illustrates how this invention 10 is particularly considerate of the needs of younger athletes, offering a reverse bending mechanism of the inner handle 135 to facilitate effortless short-distance relocation of the rebounder 10 where the user can just push or pull the rebounder 10 to relocate it.

[0078] FIGS. 1-3A Illustrates how upon bending the inner handles 135 towards the rear of the semi oval-shaped cover or upper lid 105, the rebounder 10 is positioned for use on its side, and with the friction ridges 130 at the bottom, the handles 135 and 140 serve as stabilizing agents, mitigating unintended displacement following ball contact and featuring edge designs akin to flat-head spikes on the edges of the handles 135 for added steadiness.

[0079] As illustrated in FIG. 3A and stated earlier, the invention 10 includes grooves or friction ridges 130, along one longitudinal side of the rebounder 10 to minimize accidental lateral shifts during use. Solar charging panels 145 are embedded within the curved segment on the opposite side of the friction ridges 130 on the rebounder 10 to harness solar energy to recharge the batteries and are controlled by an integrated Charge Controller both within compartment 115.

[0080] The upper lids' 105 opposite side composed of the transparent or translucent LED screen shield 230 acts as the main rebound surface. Illustrated by FIGS. 1 and 2 respectively with one variant incorporating an LED display 210 spanning the full length of the rebounder 10, and the other embodiment with Light Emitting Diodes (LEDs) within LED channels 215 and divided into three equal segments to assist users in aiming the ball at designated targets.

[0081] The integration of storage solutions, electronic enclosures, and structural modifications for environmental protection, longevity, and portability renders this smart soccer rebounder 10 exceptionally suitable for both leisure and competitive sports enthusiasts. The design features, including wheels 125, retractable handles 135, 140, and various internal compartments for electrical components 110, batteries 115, hydration supplies 120, medical kits 155, and soccer equipment 160, alongside water resistance, modular assembly, and anti-tip functionality, provide unparalleled ease of transport. Whether utilized for casual backyard activities or formal training sessions, this lightweight rebounder 10 can be effortlessly relocated by users, which is a huge obstacle for younger users with currently available products. All this hereby distinguishing it from conventional, immobile, or cumbersome soccer rebounders.

[0082] The collective introduction of these innovative, mobility-enhancing, and stabilization features sets this invention apart, making the smart soccer rebounder 10 a prime choice for athletes seeking optimal portability and stability.

Illumination Components of the Smart Soccer Rebounder

[0083] This disclosure pertains to a smart soccer rebounder 10, embodying a sophisticated illumination system essential for enhancing user interaction and training efficacy. As delineated in FIGS. 1 and 2, the smart soccer rebounder 10 comprises a rebounding surface 230 placed on the opposite side of the lid 105 which is semi-oval. Beneath the rebounding surface 230 the rebounder 10 is equipped with an advanced LED lighting arrangement, which may include either Light Emitting Diodes (LEDs) positioned in channels 215 around the perimeter or an extensive LED video display 210 enveloping the entire rebounding area. Both variations, the peripheral LEDs 215 and the full length LED display 210, are shielded by the LED screen shield or rebounding surface 230 by encasing the LEDs securely, waterproofing and serving as the principal zone for conducting rebound exercises.

[0084] In the configuration utilizing LED channels 215, the system is engineered to segment the lights into three distinct zones, capable of independent illumination in a spectrum of colors. FIG. 6B illustrates an interactive training mechanism of multiple units linked together wirelessly. Rebounder A emits light signals in various colors to direct user interactions. For instance, a green light signal may indicate to the user to use their left foot, while a blue light may indicate the use of the right foot. This instruction is further reinforced through the activation of sensors embedded in the shoe clips 50 illustrated by FIG. 5A. The shoe clip sensors 50 are configured with the onboard computer in the rebounders 10 and, in conjunction, assesses the accuracy and force of the foot-ball engagement against a particular lit section on rebounder A.

[0085] As illustrated by FIG. 6B, If section 1 on rebounder A lights up in green, the user employs his left foot to kick the ball to the lit section 1. If section 2 on rebounder D subsequently lights up in blue, the user then collects the ball by trapping with his left or right foot depending on the ball's return speed or the location of rebounder D. The user then uses his right foot to kick the ball to the lit blue section 2 on rebounder D. Next, if section 3 on rebounder B lights up in green, the user employs his left foot again after collecting the rebound from rebounder D. This changing of light colors, in this case green and blue, across multiple rebounders 10 forces the user to use both feet. The user employs techniques like trapping, dribbling, vision to see which light came on, quickness and accuracy to hit the target before it blinks out. Repeated practices improve every aspect of a user's game and is very interactive. Throughout the described scenario, a comprehensive array of metrics is meticulously collected, ranging from the number of impacts per minute, accurate hits, and the time interval between hits, extending to biomechanical data. This data acquisition is facilitated as the shoe clips 50 (FIG. 5A) and the rebounders 10 as stated are specifically configured to identify which foot has been utilized and to amass detailed data thereon.

[0086] The rebounders 10 which may be spread and connected wirelessly across a radius of up to 150 feet, change colors and light sequences. They can be sped up or slowed down, controlled and customized with preset configurations of light colors and sequences or randomly programmed sequences using the mobile application as illustrated by FIG. 14A. This gives the user an opportunity to employ both feet, improve vision and field awareness, improve speed, quickness and sharpen trapping or controlling of the ball, accuracy in shots and passes, agility and all the attributes needed to improve soccer skills.

[0087] In the other version with a full screen LED 210, a similar data capture and evaluation methodology is used. FIG. 6A illustrates this alternative. In this case, a section of LED screen 210 of rebounder A lights up in the form of a green star (1) and the user employs his left foot to kick the ball and try to hit the target-the green star (1). Subsequently rebounder D lights up a section of its LED screen 210 as a blue circle (3) and the user employs the right foot. Next, the LED screen 210 of rebounder B may light up as green star (1) signaling use of the left foot again to target that green star. These targets may be moving or stationary according to user preference. As was the case with the first version with the LED channels 215, this process is replicated across each sequential rebounder 10, with each graphic on each unit designed to illuminate in either blue or green, systematically encouraging alternating use of the left and right feet and fully controlled by the mobile application illustrated by FIG. 14A and similarly configured with the shoe clip sensors 50 to gather all foot-ball contacts for accuracy, power and a vast array of data including biometric data.

[0088] As depicted in FIG. 6A, the LED screen 210 introduces a versatile array of targets, ranging from graphics and numbers to cartoon characters. These elements are not only customizable but can also be dynamically displayed on the rebounder 10, engaging users with a variety of visual stimuli. The strategic alternation of light colors (blue and green, in our example) and sequences across all rebounders 10 mandates the use of both feet, thereby fostering the development of speed, accuracy, field awareness, and other crucial soccer skills. This approach leverages randomness, unpredictability, customizable graphics, and gamification to not only enhance proficiency in using both feet but also to significantly enrich the training experience. The method increases interactivity and enjoyment, leading to sustained engagement and ongoing collection of performance metrics. FIGS. 6A and 6B demonstrate how these visual cues, in conjunction with auditory guidance from the built-in speakers 405, significantly enhance targeted skill development by providing comprehensive visual and auditory prompts.

[0089] The lighting patterns, governed by the central processing unit housed within the electrical compartment 115, are fully customizable. Users can select from predefined modes suited to various skill levels and age demographics or create random sequences to improve adaptability. The mobile application, as shown in FIGS. 14A, 14B, 14C, 14D, 14E facilitates real-time modifications to sequence parameters such as color, brightness, speed, and duration.

[0090] Regardless of the configurationperipheral LEDs 215 or the full-surface LED screen 210the primary objective remains to guide the user in directing the ball towards specified targets on the surface, thereby enhancing accuracy and underscoring the device's interactive and training functionalities. In both embodiments, depicted in FIG. 6A showcasing the LED screen display 210 and in FIG. 6B highlighting targeted impact zones, integrated sensor arrays detect ball contact accuracy. This sensor array, which may comprise piezoelectric sensors 200, photodiodes, photoresistors,photo capacitors or rather light-dependent resistors 205, accurately communicates precise strike-zone information to the CPU within the electrical compartment 115 by sensing light obstructions.

[0091] The integrated computing system may also utilize Light Detection and Ranging (LiDAR) 220 to three-dimensionally map the training environment, allowing for sequence programming that aligns with the user's positioning. The LiDAR 220 works in tandem with a multi-lens camera 225 to achieve comprehensive spatial awareness, enabling real-time visual feedback on the LED display 210, which can depict performance metrics, training imagery, and realistic match scenarios through advanced graphics.

[0092] In both individual and group settings, and in both embodiments-full screen LED 210 and peripheral LED 215, the system employs proprietary software, Bluetooth and Wi-Fi to synchronize lighting adjustments and target transitions across interconnected rebounder 10 units, with unique node IDs facilitating individual control within the network. The mobile application illustrated by FIG. 14A, offers an extensive range of pre-programmed training routines, alongside the capability for users to customize LED sequences and challenges to match specific skill levels, based on real-time data analysis of strike accuracy and agility.

[0093] Enhanced audio features, including simulated crowd noise, motivational announcements or soccer specific verbal instructions and/or warnings like man-on and personalized soundtracks, complement the interactive components, enriching the training atmosphere. Coaches can remotely adjust lighting sequences and difficulty settings through the mobile app (FIGS. 14A), while augmented reality (AR) headsets 70 may provide an immersive training experience, allowing for real-time performance analysis in a virtual environment.

[0094] The inclusion of efficient solar panels 145 ensures sustainable energy provision, maintaining consistent illumination even under varying lighting conditions. The robust build quality, evidenced by the weather-resistant screen shield 230, guarantees durability against environmental elements.

AI-Controlled Dynamic LED System

[0095] The LED system in this invention 10 consists of high-resolution LED displays 210 or LED channels 215 along the perimeter of the rebounder 10. These LEDs are not just static lights but may be intelligently controlled by AI algorithms to create dynamic, interactive, and responsive training experiences.

1\. Performance-Driven LED Patterns:

[0096] As illustrated by FIG. 9, the AI algorithms continuously analyze the player's performance data collected by the sensor array system of rebounder sensors and shoe clip sensors 50, specifically piezoelectric sensors 200, light dependent sensors 205 and LiDAR sensors 220 respectively. This data may include metrics such as shot accuracy, ball speed, and foot placement. Based on this real-time analysis, the AI dynamically generates LED patterns and sequences that correspond to the player's performance. For example, if the player consistently hits the ball off-center, the AI may illuminate specific areas on the rebounding surface to indicate the optimal strike zone. The LED patterns can change color, intensity, or animation style to convey different types of feedback, such as green for accurate shots, red for misses, or pulsating lights for power and speed.

2\. Adaptive Training Cues and Targets:

[0097] The AI may use the LED system to display adaptive training cues and targets that challenge the player based on their skill level and progress. The system can project moving targets, directional arrows, or specific patterns on the rebounding surface to guide the player's shots and movements. As the player improves, the AI adjusts the complexity and speed of the LED cues to maintain an optimal level of difficulty and engagement. The LED cues can be customized to focus on specific skills, such as accuracy, reaction time, or ball control, based on the player's training goals and performance data

[0098] For instance, the skill of closing space-strategically positioning a player to intercept the ball on a soccer field-relies on precise timing. To practice this aspect of defense, users might engage in exercises such as pursuing a moving graphic across multiple screens. This simulates the act of closing the gap between rebounders and catching up to the ball's location. Successful completion of this task, would be once the user is within a certain proximity to the graphic, signaling that they are appropriately positioned to intercept the ball-in this case the graphic.

3. Real-Time Feedback and Guidance:

[0099] The LED system may provide instant visual feedback to the player based on their performance during each drill or exercise. For example, if the player successfully hits a designated target, the LEDs may flash green or display a celebratory animation to reinforce positive actions. If the player misses a target or executes a technique incorrectly, the LEDs may provide immediate corrective feedback, such as highlighting the missed area or displaying arrows indicating the desired movement pattern. The AI can also use the LEDs to provide real-time guidance and instructions, such as prompting the player to adjust their stance, change the angle of their foot, or increase the power of their shots.

4\. Integration With AR and Audio Feedback:

[0100] The AI seamlessly integrates the LED system with the AR headset 70 and audio feedback to create a cohesive and immersive training experience. The LEDs can synchronize with the AR visuals 70 to highlight targets, obstacles, or virtual players within the training environment. The AI can trigger specific LED sequences or patterns based on the player's interactions with the AR elements, providing visual confirmation and feedback. The LED cues can also be synchronized with audio feedback, such as verbal instructions, motivational prompts, or sound effects, to reinforce the desired actions and enhance the overall training experience.

5\. Adaptive Drills and Training Scenarios:

[0101] The AI utilizes the full screen LED system 210 to create dynamic and adaptive training drills and scenarios that respond to the player's performance and progress. The LEDs can be programmed to display specific patterns, sequences, or challenges that target the player's weaknesses or reinforce their strengths. As the player completes each drill or scenario, the AI analyzes their performance and adjusts the LED screens 210 cues accordingly, progressively increasing the difficulty or introducing new variations to keep the training engaging and effective.

6\. Visual Performance Summaries and Progress Tracking:

[0102] The full screen LED system 210 can be used to display visual summaries of the player's performance metrics and progress over time. The AI can generate LED-based graphs, charts, or heatmaps that showcase the player's shot accuracy, response times, or skill improvement. These visual representations provide immediate feedback and motivation to the player, allowing them to track their progress and set new goals for future training sessions.

LED and AR Environment Integration

[0103] Both embodiments of the LED system 210 and 215 respectively may also include the integration with AR technology which in this invention goes beyond simple headset overlays 70 or projections. Instead, it creates a seamless fusion of the physical rebounder 10 setup with virtual elements, resulting in a highly interactive and realistic training environment.

1\. Spatial Alignment and Tracking:

[0104] The AR system 70 uses advanced spatial tracking technologies, such as computer vision algorithms and depth sensors, to precisely map the physical space occupied by the rebounder 10 and the surrounding training area. The system creates a detailed 3D representation of the environment, including the exact position and of other rebounders 10 in the training space. This spatial mapping enables the AR system 70 to accurately align virtual elements with the physical full screen LED displays 210, ensuring a seamless blend between the real and virtual worlds.

2\. Dynamic LED and AR Synchronization:

[0105] The AI algorithms continuously monitor the player's movements, actions, and interactions with the physical rebounders 10 using the sensor system which comprises foot clip sensors 50, IMU's 510, camera 225, light dependent sensors 205, piezoelectric 200 and LiDAR sensors 220. Based on this real-time data, the AI dynamically controls the LED displays 210 to display relevant cues, targets, and feedback that correspond to the player's performance. Simultaneously, the AR system 70 generates virtual elements, such as 3D graphics, animations, and visual effects, that are precisely synchronized with the LED displays 210. This synchronization creates a seamless integration between the physical LED cues and the virtual AR overlays in the AR headset 70, providing a cohesive and immersive training experience.

3\. Interactive Mixed-Reality Scenarios:

[0106] The AI may leverage the combined power of LED displays 210 and AR technology 70 to create interactive mixed-reality training scenarios that blend physical and virtual elements. For example, the LED displays 210 can highlight specific areas on the rebounding surface, while the AR headsets or system 70 projects virtual obstacles, defenders, or targets that the player must navigate or interact with. The player's actions, such as kicking the ball or moving within the training area, trigger real-time responses from both the LED displays 210 and the AR overlays 70, creating a dynamic and engaging training environment. The AI adapts the mixed-reality scenarios based on the player's performance, adjusting the difficulty, complexity, and visual elements to provide a personalized and challenging training experience.

4\. Realistic Ball and Player Interactions:

[0107] The integration of LED displays 210 and AR technology 70 enables realistic simulations of ball and player interactions within the training environment. The AI uses the data from the sensor system to track the physical ball's movement and trajectory, and synchronizes it with virtual representations in the AR headset 70 environment. This synchronization allows the player to see and interact with the virtual ball seamlessly, as if it were a real object within the mixed-reality space. Similarly, the player's own movements and actions are captured by the sensors and translated into the AR environment, enabling them to see their virtual avatar or visual representations of their body in real-time.

5\. Immersive Audio and Visual Feedback:

[0108] The LED displays 210 and AR system 70 work together to provide immersive audio and visual feedback to the player based on their performance. The LED displays 210 can show real-time performance metrics, such as shot accuracy or response times, while the AR overlays 70 can provide visual representations of the player's technique, ball trajectory, or target achievements. The AI generates contextual audio feedback, such as coaching instructions, motivational prompts, or realistic sound effects, that are synchronized with the visual cues from the LED displays 210 and AR overlays 70. This multi-sensory feedback creates a highly immersive and engaging training experience that helps players understand and internalize the key aspects of their performance.

6\. Seamless Transitions and Adaptive Training:

[0109] The AI ensures seamless transitions between different training scenarios, drills, and difficulty levels by dynamically controlling the LED displays 210 and AR overlays 70. As the player progresses or moves between different training areas, the LED displays 210 and AR elements adapt in real-time to maintain a smooth and uninterrupted training flow. The AI analyzes the player's performance data and adjusts the mixed-reality training environment accordingly, providing a continuously evolving and personalized experience that keeps the player engaged and challenged.

Advanced LED Customization by AI

[0110] One of the key features of this invention 10 is its high level of customization, which allows players, coaches, and trainers to tailor the training experience to their specific needs and preferences.

1\. Programmable Light Sequences:

[0111] The LED displays 210 on the rebounder 10 are fully programmable, enabling users to create complex light sequences and patterns. Through the companion mobile app FIG. 14A, users can design custom light sequences that target specific skills, drills, or training scenarios. For example, users can create a sequence that alternates between different colors or intensities to indicate specific target zones, or a pattern that moves across the rebounding surface to challenge the player's reaction time and agility. The AI algorithms may also generate intelligent light sequences based on the player's performance data, adapting the patterns to focus on areas that need improvement or to progressively increase the difficulty as the player's skills advance.

2\. Detailed Graphics and Avatars:

[0112] The high-resolution LED displays 210 and AR overlays 70 allow for the display of detailed graphics, animations, and avatars within the training environment. Users can choose from a library of pre-designed graphics and avatars or create their own custom designs using the companion app or web-based tools illustrated by FIG. 14. These graphics can include virtual players, defenders, or teammates that interact with the player during training drills, providing a realistic and engaging experience. The avatars can be customized to represent specific players, coaches, or even famous soccer stars, allowing players to train alongside their virtual counterparts. The AI can dynamically control the behavior and movements of these virtual entities based on the player's actions and performance, creating a responsive and adaptive training environment.

3\. Synchronized Audio Cues:

[0113] The smart soccer rebounder 10 offers the ability to sync audio cues with the light sequences, graphics, and avatars, creating a multi-sensory training experience. Users can select from a library of pre-recorded audio cues, such as coaching instructions, motivational phrases, or realistic sound effects, or record their own custom audio clips. The audio cues can be triggered based on specific events or actions during the training session, such as when the player hits a target, achieves a milestone, or needs corrective feedback. The AI algorithms can analyze the player's performance data and generate intelligent audio cues that provide real-time guidance, encouragement, or suggestions for improvement. The synchronization of audio cues with the visual elements enhances the immersive nature of the training, helping players to stay focused, motivated, and engaged.

4\. Customizable Training Scenarios:

[0114] The smart soccer rebounder 10 allows users to create and customize their own training scenarios using the programmable light sequences, graphics, avatars, and audio cues. Through the companion app FIG. 14 or web-based platform, users can design specific drills, exercises, or game-like situations that target different skills or playing positions. For example, a coach can create a scenario that simulates a high-pressure defensive situation, with virtual defenders closing down on the player and specific target zones highlighted on the rebounding surface. Users can adjust the difficulty level, speed, and complexity of these scenarios based on the player's skill level or training objectives. The AI can also generate adaptive training scenarios that dynamically adjust to the player's performance, providing a personalized and challenging experience.

5\. Sharing and Collaboration:

[0115] The smart soccer rebounder 10 system enables users to share their custom light sequences, graphics, avatars, audio cues, and training scenarios with other users through the companion mobile app FIG. 14A or web-based platform. Players and coaches can collaborate, exchange ideas, and learn from each other by sharing their custom training content. The AI may analyze the shared content and provide recommendations or suggestions for improvement based on the collective data and insights from the user community. This collaborative aspect fosters a sense of community and encourages players and coaches to continually innovate and refine their training approaches.

6\. Real-Time Adjustments and Personalization:

[0116] The advanced customization options in the smart soccer rebounder 10 are not limited to pre-defined settings or scenarios. The AI algorithms can make real-time adjustments and personalizations based on the player's performance and interactions during the training session. The system can dynamically adapt the light sequences, graphics, avatars, and audio cues to match the player's skill level, strengths, weaknesses, and training goals. For example, if the AI detects that the player is struggling with a particular drill or skill, it can automatically modify the light patterns, adjust the difficulty level, or provide targeted audio feedback to help the player overcome the challenge. This real-time personalization ensures that the training experience remains engaging, effective, and tailored to the individual player's needs.

AI-Driven Realistic Game Simulations

[0117] The integration of AI algorithms with the LED system creates a highly interactive and adaptive training environment that goes beyond simple repetitive drills. The AI-driven LED system may create realistic game-like situations and training modes that dynamically respond to the player's actions and performance.

1. Intelligent Game Simulation:

[0118] The AI algorithms can generate realistic game simulations using the LED displays 210 and AR overlays in the headset 70, replicating the challenges and dynamics of a real soccer match. The AR headset 70 can display virtual opponents, teammates, and real-time game scenarios that mimic the positioning, movement, and tactics of a competitive match. The AI analyzes the player's actions, such as their movement, ball control, passing, and shooting, and adapts the game simulation accordingly. For example, if the player makes a successful pass, the AI can progress the game scenario, moving the virtual teammates and opponents to create a new challenge or opportunity. The AI can also introduce unexpected events, such as a sudden change of possession or a counterattack, to test the player's decision-making skills and adaptability.

2\. Realistic Player Interactions:

[0119] The AI-driven LED system enables realistic interactions between the player and virtual entities within the training environment. The LED displays 210 and AR overlays 70 can represent virtual opponents who intelligently react to the player's movements and actions. For example, if the player tries to dribble past a virtual defender, the AI can control the defender's response, such as attempting a tackle or closing down the space, based on the player's speed, direction, and ball control. Similarly, virtual teammates can make intelligent runs or provide passing options based on the player's position and the current game situation. The AI can also simulate realistic ball physics, including ball trajectory, bounce, and spin, based on the player's input and the virtual environment.

3\. Adaptive Difficulty and Progression:

[0120] The AI-driven LED system can adjust the difficulty and complexity of the training modes and game simulations based on the player's performance and skill level. As the player improves and demonstrates mastery of certain skills, the AI can automatically increase the challenge by introducing more advanced opponents, faster gameplay, or complex tactical scenarios. The system can also identify areas where the player needs improvement and generate targeted training drills or game situations that focus on those specific skills. For example, if the AI detects that the player struggles with aerial duels, it can create game simulations with an emphasis on high crosses and aerial challenges to help the player develop those abilities.

4\. Real-Time Feedback and Coaching:

[0121] The AI-driven LED system provides real-time feedback and coaching during the training modes and game simulations. The LED displays 210 can highlight key performance metrics, such as pass completion rate, shot accuracy, or defensive positioning, in real-time. The AI can generate immediate visual and auditory feedback based on the player's actions, providing guidance, encouragement, or constructive criticism. For example, if the player makes a poor decision or loses possession, the AI can display visual cues on the LED screens 210 or provide audio feedback suggesting alternative options or corrective actions. The real-time feedback helps players understand the consequences of their actions and promotes quick learning and adaptation.

5\. Tactical Analysis and Replay:

[0122] The AI-driven LED system may provide in-depth tactical analysis and replay features to help players review and learn from their performance in the training modes and game simulations. The system can record and store data from each training session, including the player's movements, decisions, and key game events. Players and coaches can access these recordings through the companion app FIG. 14A or web-based platform to analyze the player's performance, identify strengths and weaknesses, and gain tactical insights. The AI can generate visual overlays, heatmaps, and annotated replays that highlight important moments, such as successful plays, missed opportunities, or defensive lapses. The tactical analysis and replay features enable players and coaches to study their performance objectively, learn from their mistakes, and make data-driven improvements to their game.

6\. Customizable Training Scenarios:

[0123] The AI-driven LED system allows players and coaches to create and customize their own training scenarios and game simulations. Through the companion app FIG. 14A or web-based platform, users can design specific game situations, set up virtual opponents and teammates, and define objectives or challenges. The AI can then bring these custom scenarios to life using the LED displays 210 and AR headset overlays 70, creating a personalized and targeted training experience. For example a user could practice penalty kicks by putting two rebounders 10 in front of him at any distance or the regulated distance of 12 yards as targets. With the AR headset 70, a user can then put a virtual goalkeeper as an opponent in between the rebounders to practice hitting the targets on the LED screen 210 away from the virtual goalkeeper. Users may also share their custom training scenarios with others, fostering collaboration and knowledge sharing within the soccer community.

[0124] By leveraging the power of AI and the versatility of the LED system, the smart soccer rebounder 10 enables sophisticated training modes and realistic game simulations that intelligently react to player actions. The AI-driven system creates an immersive and adaptive training environment that replicates the challenges and dynamics of real soccer matches.

[0125] The intelligent game simulations, realistic player interactions, adaptive difficulty, real-time feedback, tactical analysis, and customizable scenarios provided by the AI-driven LED system offer a comprehensive and personalized training experience. Players can develop their skills, decision-making abilities, and tactical understanding in a realistic and engaging manner.

[0126] The ability of the AI to analyze player performance, provide immediate feedback, and adjust the training content dynamically ensures that the player remains challenged, motivated, and focused on continuous improvement. The tactical analysis and replay features allow players and coaches to review and learn from their performance, facilitating data-driven coaching and self-reflection.

[0127] Overall, the smart soccer rebounder's 10 advanced illumination and display components, coupled with the power of AI, foster an interactive, motivating, and safe training environment that is adaptable to the evolving skill levels of users. Through extensive customization options and multisensory integration, the system not only facilitates personalized skill development but also enhances spatial orientation and reaction speeds, underscoring its versatility for both recreational and professional training applications.

[0128] The AI-driven LED system in the smart soccer rebounder 10 revolutionizes soccer training by creating sophisticated and realistic training environments that adapt to the player's actions and performance. It offers a level of interactivity, personalization, and intelligence that goes beyond traditional training methods, empowering players to develop their skills and reach their full potential.

Sensor Configuration and Data Acquisition

[0129] The present invention 10, may integrate a comprehensive array of sensors designed to facilitate accurate, real-time tracking of ball impacts, trajectories and player movements. This capability generates critical performance data, illustrating the system's advanced technological foundations.

[0130] As illustrated in FIG. 1 and FIG. 2 the sensor arrays may comprise of piezoelectric sensors 200, light dependent sensors 205, LiDAR sensors 220 and are embedded within the system's rebounder 10 units, while the wearable technology or shoe clip impact sensors 50 are integrated into a sleeve 520 as illustrated by FIG. 5B. Light Detection and Ranging (LiDAR) and motion sensors 220, like the Titan W1 from Neuvition or the Iris 15M laser sensors from Innoviz which achieves unparalleled vertical and horizontal resolutions of 0.1 degrees and 0.1 milliradians, respectively, are meticulously positioned to map the training environment accurately, capturing minute variations in distance and orientation of subjects. This configuration yields intricate three-dimensional spatial representations of player movements.

[0131] The LiDAR sensors 220 emit rapid pulses of laser light towards the player and the surrounding area. As the laser pulses bounce back, the LiDAR sensor 220 measures the time of flight (TOF) of each pulse. By combining the TOF data with the known orientation and position of the LiDAR sensor 220, the system generates a dense 3D point cloud representation of the player and the training environment. This provides a detailed spatial map for tracking the player's location, velocity, and trajectory in real-time.

[0132] The 3D point cloud data offers a comprehensive understanding of the player's position and orientation relative to the rebounder 10 and other objects in the training area. The rebounder 10 can measure distances, angles, and spatial relationships between the player, the ball, and the rebounder 10, allowing for accurate assessment of the player's positioning, approach, and interaction with the equipment. This contextual analysis enables the rebounder system 10 to provide specific feedback on footwork, body alignment, and shot preparation.

[0133] Moreover, the LiDAR data can be used to create virtual 3D models of the training environment, including the placement of the rebounder 10 and any obstacles or targets. These virtual models serve as the basis for generating realistic augmented reality (AR) overlays 70 and training scenarios that adapt to the player's movements and performance. The system 10 can dynamically adjust the position and behavior of virtual elements based on the player's real-time movements, creating an immersive and interactive training experience.

[0134] Advanced algorithms, such as object detection and skeletal tracking, can be applied to the point cloud data to identify specific body parts and joints, enabling detailed analysis of the player's movements and posture. The rich spatial data captured by LiDAR sensors 220 enables the calculation of advanced performance metrics and biomechanical parameters. The system 10 can measure metrics such as the player's speed, acceleration, agility, and shot power based on the temporal and spatial analysis of their movements.

[0135] In addition to the LiDAR sensors 220, the invention 10 employs inertial measurement units (IMUs) 510 comprising accelerometers, gyroscopes, and magnetometers This is illustrated by FIG. 5A, where these IMUs 510 are packaged within the impact sensor shoe clip 50 integrated into the wearable sleeve 520. Strategically positioned on the sleeve 520 in primary ball contact zones as depicted in FIG. 5C, the shoe clip sensor 50 enables precise detection of foot-ball contact.

[0136] The 9-axis Inertial Measurement Unit (IMU) 510 packaged within the shoe clip sensor 50, captures extensive movement data, which is processed by the onboard computer inside CPU compartment 115 employing artificial intelligence algorithms to analyze complex kinematic parameters including leg swing arc and joint angles.

[0137] The IMUs 510 measures and tracks the motion, orientation, and rotation of the player's foot in 3D space. The accelerometers measure linear acceleration, allowing the rebounder 10 to determine the direction, speed, and intensity of foot movements during various soccer actions. By analyzing the acceleration data, the system 10 can assess the player's technique, power, and control during ball interactions.

[0138] Gyroscopes measure angular velocity and orientation, enabling the calculation of metrics such as the angle and trajectory of the leg swing during kicking motions. By integrating the gyroscope data over time, the rebounder system 10 can calculate the angle and trajectory of the leg swing, providing insights into the player's kicking mechanics, including the swing arc, follow-through, and leg extension. These factors are crucial in determining shot power, accuracy, and consistency.

[0139] The combination of accelerometer and gyroscope data from the IMUs 510 enables the estimation of various biomechanical parameters related to soccer performance. For example, the system 10 can calculate metrics such as foot velocity, ankle dorsiflexion, knee flexion, and hip rotation during different phases of the kicking motion. These parameters provide a detailed understanding of the player's movement patterns, joint angles, and force generation, which can be used to identify areas for technique improvement and injury prevention.

[0140] For example, in the context of practicing corner kicks-a scenario where a player aims to direct the ball to a teammate, targeting either the near post or far post-achieving consistent power and precision is crucial for the intended result: enabling the teammate to connect with the ball and score a goal. These scenarios, known as set plays, are routinely practiced, relying predominantly on muscle memory. However, relying solely on muscle memory for the repetitive execution of kicks often leads to inconsistent outcomes.

[0141] In executing a set play like a corner kick, the ball typically travels into the 6-yard box, requiring a distance of 31 yards for a near post target and 37 yards for a far post target. It becomes significantly beneficial for players to understand precisely how to execute kicks to replicate the intended results of set plays consistently. By supplementing muscle memory with data gathered from an Inertial Measurement Unit (IMU) 510, players can gain insights into the proper body mechanics and technique needed to kick the ball with the desired accuracy and power. This integration of technology and traditional practice methods can significantly enhance the effectiveness of training, leading to more successful set plays and ultimately, achieving the goal of scoring.

[0142] FIG. 10 illustrates the methodology of the shoe clip sensor 50, detailing its data gathering, detection, and processing mechanisms, as well as data transfer processes, highlighting the placement of the IMUs to optimize data collection when the user interacts with the ball, thereby providing an overview of how the shoe clip sensor 50 functions to achieve the desired outcomes.

[0143] The system 10 may incorporate photosensitive elements such as photodiodes, photoresistors and photo capacitors or as defined here as light-dependent sensors 205 integrated within the LED display 210 and in another embodiment beneath the LED screen shield 230 of the rebounding surface of the LED channels 215. These elements detect light obstructions to precisely identify ball strike locations upon impact. Piezoelectric film technology, also packaged in the impact shoe sensor clip 50, further enhances strike zone detection, enabling the identification of nuanced foot-ball contacts. The piezoelectric film sensors 500 respond to the physical force exerted by the ball, differentiating between different types of kicks based on the force distribution contributing to the vast array of data gathering.

[0144] The light detection sensors 205 and piezoelectric sensors 200 may be arranged in a grid or matrix pattern underneath the rebounding surface, creating a high-resolution map of the impact zones. Each sensor covers a specific area and is capable of detecting ball contact within its designated zone. This dense array allows the system 10 to pinpoint the precise location of the ball's impact on the rebounder 10.

[0145] This novel integration of sensor technologies-including LiDAR 220, cameras 225, piezoelectric sensors 200, photodiodes, photo capacitors, photoresistors (or light-dependent resistors) 205, wearable sensors 50 such as IMUs 510 (accelerometers, gyroscopes, and magnetometers), and piezoelectric film sensors 500, collectively defined as a sensor array-represents an unparalleled advancement not previously observed in the prior art.

Connectivity and Network Configuration

[0146] For data transmission, the invention 10 may utilize Bluetooth Low Energy (BLE) technology among other data transfer protocols like WIFI, to ensure efficient communication between the wearable impact sensors 50 and the smart soccer rebounder system 10, supporting connectivity over distances up to 150 feet. The wearables 50 are equipped with onboard memory 515 to maintain data integrity during transmission disruptions and feature rechargeable batteries 505 for extended operational life as illustrated in FIG. 5A. Additionally, an alternate embodiment may include inductive charging capabilities for the wearables 50.

[0147] The system's architecture supports BLE and Wi-Fi protocols for inter-rebounder networking, enabling the connection of up to ten rebounders (illustrated in FIG. 6A and FIG. 6B) as synchronized units in a training assembly, facilitated by direct or mesh networking through a designated master unit. Each node is uniquely identified for individualized control and configuration settings, with the potential for expansion via range extenders located within the CPU compartment 115, contingent upon bandwidth and interference considerations.

[0148] This networking capability extends to support seamless connectivity in multiplayer training environments, including augmented reality 70 setups FIG. 6A, through the use of sophisticated synchronization algorithms. Performance data from each rebounder 10 is transmitted to a cloud-based server ecosystem, associated with individual user accounts and accessible via mobile applications FIG. 14. This framework not only ensures the preservation of data but also supports real-time analysis, progress tracking, and content sharing capabilities.

[0149] The system also facilitates over-the-air updates for software and firmware, enhancing the rebounder's 10 maintainability and adaptability. Users can directly download new training content, leveraging the system's connectivity options. Moreover, a mobile application FIGS. 14A-14E, enables users to remotely control the rebounder 10, adjusting settings and preferences seamlessly for personalized training experiences.

[0150] FIG. 11 depicts the comprehensive process of data collection, processing, and the generation of personalized feedback and recommendations, culminating in the delivery of this feedback.

[0151] The strategic placement of sensor arrays-LiDAR 220, camera 225, piezoelectric sensors 200 and Light dependent sensors 205 enables system 10 to estimate the ball's trajectory after impact by measuring the force distribution and sequence of sensor activations. This information or collected data is valuable for assessing the player's accuracy and power. The system 10 can capture the exact timing of the ball's impact, including the moment of initial contact and the duration of the contact phase. By analyzing the timing data, the system 10 can determine the speed and rhythm of the player's kicks, which are important factors in ball control and quick ball release.

[0152] Furthermore, the IMUs 510 in the shoe clip 50 can provide insights into the player's foot placement and orientation relative to the ball at the moment of contact, aiding in the evaluation of body alignment and striking technique. By analyzing the pattern of light dependent sensors 205, LiDAR 220 sensors and the shoe clip piezoelectric film sensors 500, IMUs 510 activations and the force distribution, the system 10 can infer the angle and position of the foot at the moment of contact. This data helps in evaluating the player's body alignment, foot positioning, and striking technique, which are crucial for optimal ball striking and control.

[0153] These sensor inputs as illustrated by FIG. 11 furnish the computerized processor within compartment 115 with comprehensive situational data. Through the application of advanced AI and ML algorithms, detailed performance analytics can be derived. The granular data collected by the sensor system empowers the AI to provide nuanced, personalized feedback and training recommendations that go far beyond what is possible with basic impact sensors alone.

[0154] The AI algorithms process the wealth of data to create a holistic understanding of the player's strengths, weaknesses, and areas for improvement. By analyzing patterns and trends, the AI identifies specific aspects of the player's technique that deviate from optimal performance. This enables the generation of contextual, skill-specific feedback tailored to the player's individual needs and goals.

[0155] The granular data allows the AI to provide feedback that is highly specific to the player's individual performance and the context of each training session. Instead of generic feedback, the AI can generate nuanced recommendations such as adjusting foot angle, shifting weight distribution, or modifying body positioning. The AI takes into account the player's skill level, progress, and specific training goals to tailor the feedback and recommendations accordingly as illustrated by FIG. 11.

[0156] The AI algorithms can analyze the granular data to identify the player's proficiency in various soccer skills, such as ball control, passing accuracy, shooting power, and agility. Based on this analysis, the AI generates personalized training recommendations that target the player's specific areas of improvement. For example, if the data indicates that the player struggles with long-range shots, the AI may suggest drills focusing on power generation and shot technique refinement. The training recommendations are dynamically adapted based on the player's progress and performance during each session, ensuring that the training remains challenging and relevant.

[0157] The AI also leverages the granular data collected from the IMUs 510 for detailed biomechanical analysis, identifying movement patterns, joint stress, and force distribution that may increase the risk of injury or hinder performance. By detecting these inefficiencies, the AI provides recommendations to optimize technique, prevent overuse injuries, and promote proper body mechanics. The system can identify movement patterns, joint stress, and force distribution that may increase the risk of injury or hinder performance, providing specific feedback and recommendations to optimize the player's technique and prevent overuse injuries.

[0158] Furthermore, the AI utilizes the performance data to create adaptive training scenarios that challenge the player based on their skill level and progress. The system can automatically adjust the difficulty, speed, and complexity of the drills and AR headset 70 overlays to match the player's abilities. As the player improves, the AI progressively increases the challenge to maintain engagement and facilitate continuous skill development.

[0159] The granular data allows for personalized performance tracking and goal setting, with the AI generating detailed reports highlighting areas of improvement, comparing metrics against benchmarks, and setting individualized training objectives. Players and coaches can access these reports through the mobile app FIG. 14A-14E, enabling data-driven decision-making and targeted training planning. The AI can track the player's performance metrics over time, creating a detailed record of their progress and achievements, and generate personalized performance reports that highlight areas of improvement, compare the player's metrics against benchmarks, and set individualized training goals.

[0160] The smart soccer rebounder 10 system's advanced sensor configuration, including light dependent sensors like photodiodes, photoresistors and photo capacitors 205, LIDAR sensors 220 and piezoelectric sensors 200 and IMUs 510, enables comprehensive data acquisition and analysis of player's movements, ball interactions, and overall performance. The granular data empowers AI algorithms to provide nuanced, personalized feedback and training recommendations, optimizing performance and minimizing injury risk. This level of detail and adaptability sets the invention 10 apart from traditional training aids, creating a powerful ecosystem for accelerated skill acquisition and soccer proficiency.

[0161] This granular data forms the foundation for advanced AI and machine learning algorithms to analyze and interpret the player's performance. The AI can identify technique deviations, biomechanical inefficiencies, and areas for improvement, generating personalized feedback and training recommendations. The system 10 adapts the training sessions dynamically based on the player's skill level, progress, and specific goals, ensuring an engaging and challenging experience.

[0162] The smart soccer rebounder 10 system's ability to provide nuanced, contextual feedback and create adaptive training scenarios sets it apart from traditional rebounders. The integration of AR technology 70 further enhances the immersive nature of the training, allowing for realistic simulations and interactive elements that respond to the player's movements in real-time. Moreover, the system's connectivity features, including Bluetooth Low Energy and Wi-Fi, enable seamless data transmission, cloud-based storage, and remote access via mobile applications. This allows players and coaches to review performance data, track progress, and make informed decisions about training strategies.

[0163] Overall, the advanced sensor configuration and AI-driven analysis in the smart soccer rebounder system create a cutting-edge training tool that revolutionizes skill development and performance optimization in soccer. The granular data acquisition, personalized feedback, and adaptive training capabilities provide a comprehensive and effective solution for players seeking to enhance their abilities and reach their full potential.

Intelligent Audio Feedback System

[0164] The groundbreaking smart soccer rebounder 10 harnesses the power of Artificial Intelligence (AI) to provide dynamic, real-time audio feedback and guidance, enhancing the training experience and accelerating skill development. This innovative system seamlessly integrates advanced sensors, computer vision algorithms, artificial intelligence and machine learning techniques to analyze player movements, ball trajectory, and training context with remarkable precision. By processing vast amounts of data in real-time, the AI-powered system may generate intelligent, personalized, and context-aware audio cues that adapt to each player's unique needs, preferences, and progress, ensuring a highly immersive, engaging, and effective training experience.

[0165] As stated the core of the invention 10 lies advanced motion capture cameras 225, wearable devices 50 and an array of sensors that continuously track the player's movements with exceptional accuracy. These sensors comprise of LiDAR sensors 220, piezoelectric sensors 200, light dependent sensors 205 and IMUs (Inertial Measurement Units) 510 built into shoe clip sensors 50. This array of sensors capture a wealth of data, including the player's position, velocity, acceleration, shot accuracy and body mechanics, allowing the AI system FIG. 15 to construct a detailed, dynamic representation of the player's movement patterns and technique. By meticulously analyzing this data in real-time, the A.I system may identify key moments or events that warrant audio feedback or guidance, ensuring that the player receives timely and relevant support throughout their training session. FIG. 12 illustrates the seamless integration of cutting edge sensors, computer vision algorithms, machine learning and natural language processing to give the smart soccer rebounder 10 dynamic real time audio feedback.

[0166] Concurrently, the system may employ cutting-edge computer vision algorithms and high-precision Lidar sensors 220 to track the ball's position, velocity, and trajectory with unparalleled accuracy. By analyzing a comprehensive set of ball movement data and intelligently combining it with the player's movement analysis, the AI can develop a deep understanding of the player's intentions, anticipate future ball trajectories, and generate proactive audio cues and feedback. This predictive capability allows the A.I system to provide guidance and support at the most opportune moments, enhancing the player's decision-making skills and overall performance.

[0167] The AI algorithms at the core of the invention 10 continuously process the vast amounts of player movement and ball tracking data, identifying specific events or situations that require audio feedback in real-time. These events encompass a wide range of scenarios, from successful actions to areas for improvement. Moreover, the system's advanced pattern recognition capabilities enable it to detect and analyze complex event sequences, considering the intricate interplay between player and ball data. By providing targeted feedback based on these comprehensive event analyses, the AI system helps players refine their techniques, make better decisions, and develop a deeper understanding of the game.

[0168] Once a relevant event is detected, the AI system may leverage cutting-edge Natural Language Generation (NLG) techniques to create intelligent, context-specific audio cues tailored to the player's individual needs and preferences. The audio feedback is crafted to provide clear instructions, motivational phrases, performance metrics, and guidance on technique and decision-making. To ensure maximum impact and engagement, the system automatically adapts the tone, intensity, and language of the audio feedback based on a holistic understanding of the player's profile, fostering a strong sense of personal connection and motivation. FIG. 12 illustrates this AI driven feedback mechanism which seamlessly integrates cutting edge sensors, computer vision, machine learning and Natural Language Processing (NLP) technologies to enable the rebounder 10 to give dynamic real time audio feedback.

[0169] The timing and synchronization of audio cues are paramount to the effectiveness of the invention 10. The AI system employs sophisticated algorithms to ensure that the audio feedback is delivered at the most appropriate and impactful moments, precisely synchronized with the player's actions and the ball's trajectory. By providing immediate, relevant guidance, the system maximizes the effectiveness of the feedback, helping players internalize and apply the guidance more efficiently. This real-time synchronization creates a seamless, immersive experience where the audio feedback feels like a natural extension of the player's actions and thought processes.

[0170] To further personalize the training experience, the AI system continuously adapts the audio cues based on a comprehensive understanding of the player's individual characteristics, performance history, and specific training goals. By analyzing data from past training sessions and tracking key performance metrics over time, the AI identifies each player's unique strengths, weaknesses, and areas for improvement. This in-depth analysis enables the system to generate hyper-personalized audio feedback that specifically targets the most critical aspects of each player's game. Moreover, the AI system dynamically adjusts the frequency, intensity, and specificity of the audio feedback based on the player's progress and responsiveness to previous cues, ensuring that the guidance remains relevant, challenging, and effective throughout the player's training journey.

[0171] The dynamically generated audio cues delivered through speakers 405 on the rebounder 10 or integrated headphones in the AR headset 70 are seamlessly integrated with visual feedback provided by state-of-the-art LED displays 210 and augmented reality (AR) 70 overlays, as well as tactile feedback delivered through advanced vibration motors 525 in the sleeves 520. The AI system coordinates the delivery of audio, visual, and tactile feedback, creating a synergistic effect that reinforces key concepts, enhances information retention, and accelerates learning. By engaging multiple sensory channels simultaneously, the system helps players develop a deeper, more intuitive understanding of the game.

[0172] The AI-powered system continuously monitors and analyzes player performance, progress, and engagement, dynamically adapting the content, timing, and intensity of audio feedback in real-time to provide the most relevant, impactful, and motivating guidance possible. By leveraging advanced machine learning algorithms, the system identifies patterns and trends in the player's performance data, enabling it to pinpoint the most critical areas for improvement and generate laser-focused feedback that addresses those specific aspects of the player's game. The timing of audio feedback is optimized based on a holistic understanding of the player's cognitive load, attention span, and the specific game situation, ensuring that the guidance is delivered at the most receptive moments for maximum impact and retention.

[0173] Moreover, the AI system may incorporate cutting-edge emotion recognition and sentiment analysis techniques to gauge the player's motivational level and emotional state in real-time. By detecting subtle changes in the player's voice, facial expressions, and body language, the system can dynamically modulate the intensity and tone of the audio feedback to provide the most appropriate support and encouragement. For example, during challenging moments, the AI system may offer reassuring and supportive feedback, helping players maintain a positive mindset and persist through difficulties. Conversely, when the player is excelling, the system delivers more intense, challenging feedback to push them to even greater heights.

[0174] To further enhance the motivational impact of the audio feedback, the AI system may generate highly personalized motivational cues that resonate with each individual player. By analyzing the player's personality profile, learning style, and motivational triggers, the system crafts bespoke motivational messages that incorporate the player's name, favorite inspirational quotes, or references to their personal role models. These customized motivational cues foster a deep sense of connection and engagement, helping players feel valued, supported, and inspired to achieve their full potential.

[0175] The AI system places a strong emphasis on ensuring the contextual relevance of the audio feedback, taking into account the specific training scenario, drill, or game situation the player is currently engaged in. By analyzing the player's actions and performance within the context of the specific exercise or game scenario, the AI system generates audio cues that are directly applicable, actionable, and tailored to the player's immediate needs. Whether the player is working on a specific skill or engaging in a more complex, game-like scenario, the audio feedback is carefully crafted to provide clear, concise guidance that directly addresses the challenges and opportunities presented by the current context.

[0176] To ensure that the audio feedback remains optimally effective and personalized over time, the AI system may employ advanced adaptive learning algorithms that continuously refine and optimize the feedback based on the player's individual responses, progress, and preferences. By closely monitoring how the player interacts with and responds to different types of audio cues, the system can identify the feedback styles, tones, and content that resonate most strongly with each individual. This data-driven approach enables the AI to continuously adapt its feedback generation model, prioritizing the approaches that yield the greatest engagement, motivation, and skill development for each player.

[0177] The integration of audio feedback with the player's overall progress tracking and performance metrics is another key feature of the invention 10. By continuously monitoring the player's development over time and comparing their current performance to previous benchmarks and milestones, the AI system can provide highly contextual and meaningful feedback that celebrates progress, identifies areas for continued improvement, and helps players maintain a clear sense of direction and purpose in their training. At the end of each training session, the system may generate a comprehensive summary that highlights key achievements, challenges overcome, and specific goals for the next session.

[0178] To further enhance the immersive and realistic nature of the training experience, the AI system seamlessly synchronizes the audio cues with the visual guidance provided by the LED displays 210 and AR overlays 70, creating a unified, multisensory feedback environment. The carefully coordinated audio and visual elements work in harmony to provide clear, consistent, and highly intuitive guidance, enabling players to grasp complex concepts and techniques more quickly and effectively. The real-time synchronization between the audio cues and the visual feedback creates a highly responsive and engaging training experience, where players feel fully immersed in the learning process.

[0179] The synchronized audio and visual elements also play a crucial role in creating realistic simulations of game situations and challenges, enabling players to develop the mental resilience, decision-making skills, and situational awareness needed to excel in real-world competition. By immersing players in dynamic, interactive virtual environments that closely mimic the demands and pressures of actual gameplay, the AI system helps them develop the cognitive and emotional skills needed to perform at their best under pressure.

[0180] The adaptability of the synchronized audio-visual feedback is another significant advantage of the invention 10. The AI system continuously monitors each player's individual characteristics, preferences, and learning style, dynamically adjusting the presentation of the audio and visual elements to ensure optimal engagement and motivation. By adapting the feedback to suit each player's unique sensibilities and learning preferences, the system maintains a high level of engagement and motivation, keeping players fully invested in their training journey.

[0181] To further extend the capabilities of the AI-powered system, the invention 10 may incorporate advanced Natural Language Processing (NLP) and Machine Learning (ML) techniques, enabling the delivery of highly sophisticated, context-aware audio coaching and guidance. The AI system ma employ state-of-the-art Natural Language Understanding (NLU) models to interpret and extract meaning from the player's verbal interactions, allowing for a more natural, conversational training experience.

[0182] The AI system's contextual awareness is greatly enhanced through the application of advanced ML algorithms that continuously analyze vast amounts of player performance data, training history, and contextual information. By considering a wide range of factors, the system may generate hyper-personalized audio coaching that is exquisitely tailored to the player's immediate needs and goals.

[0183] The Natural Language Generation (NLG) capabilities of the AI system enable the creation of highly sophisticated, personalized audio feedback that conveys complex instructions, nuanced explanations, and motivational messages in a clear, concise, and engaging manner. The AI system draws upon its deep analysis of the player's performance data, identifying subtle patterns, trends, and areas for improvement that might otherwise be difficult to discern.

[0184] The AI system's dialogue management capabilities ensure that the audio coaching experience remains coherent, engaging, and responsive to the player's needs and input. By continuously monitoring the player's verbal and nonverbal responses, the system may dynamically adjust the flow and content of the coaching conversation, maintaining a natural, interactive discourse that feels tailored to the individual player.

[0185] As the player progresses through their training journey, the AI system continuously learns and adapts based on their interactions, performance data, and feedback. By employing cutting-edge ML techniques, the system can rapidly identify the coaching strategies, communication styles, and motivational approaches that are most effective for each individual player. This ongoing optimization process ensures that the guidance remains highly personalized, adaptive, and responsive to the player's evolving needs and preferences.

[0186] To ensure that the benefits of the AI-powered audio coaching system are accessible to players from diverse linguistic and cultural backgrounds, the invention 10 may incorporate robust multilingual support through the application of advanced NLP techniques. The underlying language models and NLU components can be trained on a wide range of languages, enabling the system to understand, interpret, and generate coaching feedback in the player's preferred language.

[0187] In conclusion, the present invention 10 represents a groundbreaking advancement in the field of soccer training, leveraging the transformative power of AI to deliver a highly personalized, adaptive, and immersive learning experience. By seamlessly integrating cutting-edge sensors, computer vision, machine learning, and natural language processing technologies, the smart soccer rebounder 10 provides dynamic, real-time audio feedback and guidance that revolutionizes the way players develop their skills and reach their full potential.

Energy Generation and Power Regulation Mechanism

[0188] The invention 10 has a novel energy generation and power regulation mechanism that is a pioneer within the smart soccer rebounder field. This mechanism is engineered to facilitate reliable and efficient functionality throughout extended training sessions, even in remote locations devoid of traditional power sources. A pivotal aspect of the rebounder 10 is its symbiosis with a mobile application FIG. 14, which serves as the operational nexus for the integrated solar energy collection system. This interface permits users to modify operational parameters seamlessly, thereby augmenting the rebounder's 10 usability and interactive capabilities.

[0189] At the core of the rebounder's 10 renewable energy capabilities is the solar energy collection system, consisting of photovoltaic panels 145 strategically embedded within the device's 10 curved lateral section. This positioning ensures maximal solar energy absorption from a broad spectrum of angles, as illustrated in FIG. 2. The embedded compact photovoltaic cells within the panels 145 are designed to efficiently convert solar energy into electrical energy, which is then directed towards recharging the device's 10 integral rechargeable battery units, situated within a bespoke, hermetically sealed battery enclosure 120. Access to this enclosure is restricted to battery substitution or imperative maintenance activities to preserve the integrity and safety of the rebounder's 10 internal componentry.

[0190] The recharging mechanism is governed by a Charge Controller located within the battery enclosure 120, ensuring optimal battery recharging under favorable solar exposure and mitigating the risk of overcharge. In select embodiments, the device 10 employs a dual-charge controller arrangement to enhance power distribution efficiency. The primary controller determines the power sourcedirect solar power from panels 145 or stored energy from batteries 120based on solar availability and the device's 10 operational power needs. Concurrently, a secondary controller manages the charging process, optimizing energy conservation and allocation.

[0191] In addition to the solar energy collection system, the rebounder 10 is equipped with an external power interface or charging port 305, facilitating battery recharging via traditional electric power sources. This feature complements the solar energy collection system 145, guaranteeing uninterrupted operation under suboptimal solar conditions. The rebounder's 10 rechargeable batteries, which may be of Nickel-Metal Hydride (NiMH) or Lithium-ion (Li-ion) variety, are encased within a specifically designed protective battery enclosure 120. This compartment, along with vibration and impact buffers located within it, significantly enhances the resilience and operational lifespan of the device's 10 power system.

[0192] Advanced power management is executed through proprietary software within the rebounder's 10 computing modules in compartment 115 also surrounded by vibration and impact buffers. This software precisely identifies the most efficient moments to draw power directly from the solar panels 145 versus utilizing the stored energy within the batteries 120. The system ensures a continuous power supply amidst fluctuating solar conditions through the use of buffered electrical components, while voltage and current stabilization mechanisms maintain consistent power levels for the device's 10 delicate electronic systems. Moreover, safety measures and hierarchical battery management protocols are in place to avert premature energy depletion.

[0193] The integration of advanced solar charging technology in the smart soccer rebounder 10 sets a new standard for sustainable, flexible, and efficient soccer training equipment. By harnessing the power of the sun, the invention 10 offers an eco-friendly and autonomous training solution that reduces reliance on external power sources, minimizing its environmental footprint and contributing to a greener future. The solar panels 145 efficiently convert sunlight into electrical energy, minimizing the need for fossil fuel-based power sources and reducing carbon emissions. This commitment to sustainability sets the smart soccer rebounder 10 apart as an environmentally conscious choice for players and clubs who prioritize ecological responsibility.

[0194] The ability to operate off-grid opens up new possibilities for training in diverse locations, such as remote soccer camps, beach training sessions, or pickup games in local parks. The rebounder's 10 self-sufficient solar charging system enables it to be deployed and used effectively in these settings, without the need for access to electrical outlets or power infrastructure. Furthermore, the reduced energy costs and improved efficiency contribute to long-term cost savings, making the smart soccer rebounder 10 a cost-effective investment for players, clubs, and training facilities.

[0195] The durability and weather resistance of the solar charging components ensure reliable performance in various conditions, making the smart soccer rebounder 10 a versatile and dependable training tool. The solar panels 145 are engineered with durable materials and protective coatings that resist damage from impacts, scratches, and exposure to the elements. The charging system is sealed and weatherproofed to prevent moisture, dust, or debris from affecting its performance, allowing the device 10 to operate reliably in different environments, from sunny football fields to challenging weather conditions.

[0196] Moreover, the advanced solar charging technology in the smart soccer rebounder 10 ensures continuous operation and reliability, even during extended training sessions or in situations with limited sunlight. The high-capacity batteries 120 store surplus energy collected during peak sunlight hours, allowing the rebounder 10 to operate seamlessly even when solar power is temporarily unavailable. The intelligent power management system optimizes energy consumption and distribution, prioritizing critical functions and conserving energy when necessary. This continuous operation and reliability mean that players can focus on their training without interruptions or concerns about power loss, ensuring a seamless and uninterrupted training experience.

[0197] In remote areas around the world where there is no source of electricity, the rebounder 10 can be used as a source of light at night when not in use, helping children study beyond dusk. This additional benefit showcases the device's 10 versatility and potential for positive social impact in underserved communities.

[0198] The power management system employed in the smart soccer rebounder 10 goes beyond simple battery storage and charging, implementing intelligent systems and algorithms to achieve optimal energy utilization, ensuring maximum performance and longevity. The system continuously monitors the power requirements of various components, dynamically adjusting the power distribution to ensure critical functions receive the necessary energy while minimizing waste and inefficiencies. For example, during periods of intense training or when multiple features are actively used, the power management system prioritizes energy allocation to maintain optimal performance without compromising battery life.

[0199] The power management algorithms adapt to specific usage patterns and environmental conditions to optimize energy consumption. The system learns from historical data and user behavior to predict energy demands and adjust power settings accordingly. For instance, if the rebounder 10 detects a pattern of reduced usage during certain hours or days, it can automatically lower the power consumption of non-essential components to conserve energy. Similarly, if the solar panels detect favorable solar charging conditions, the power management system can proactively allocate more energy to battery charging, ensuring optimal storage for future use.

[0200] The smart soccer rebounder 10 incorporates energy-efficient components, such as LED displays 210, sensors, and processing units, which are carefully selected for their low power requirements and high efficiency ratings. These components are designed to operate effectively while consuming minimal energy, reducing the overall power demand of the rebounder 10. By utilizing energy-efficient components, the invention 10 maximizes the use of available energy resources, extending battery life and ensuring long-lasting operation.

[0201] Intelligent sleep and wake modes are implemented by the power management system to conserve energy during periods of inactivity. When the rebounder 10 is not in active use, the system automatically enters a low-power sleep mode, shutting down non-essential components and minimizing background energy consumption. The sleep mode is designed to maintain a minimal level of functionality, allowing the rebounder 10 to quickly wake up and resume operation when triggered by user interaction or predefined schedules. By effectively managing sleep and wake modes, the power management system prevents unnecessary energy drain and prolongs the overall battery life of the rebounder 10.

[0202] Dynamic power scaling techniques are employed by the power management algorithms to optimize energy usage based on current performance requirements. The system continuously assesses the processing demands and adjusts the power levels of the AI processing units and other computational components accordingly. During periods of low computational intensity, such as when the rebounder 10 is idle or performing basic functions, the power management system scales down the power consumption to conserve energy. Conversely, when the rebounder 10 is engaged in complex AI processing tasks or handling multiple user interactions, the system dynamically scales up the power to ensure optimal performance without compromising efficiency.

[0203] Advanced battery health monitoring capabilities are included in the power management system to optimize charging cycles and extend battery lifespan. The system continuously monitors the battery's charge levels 325, temperature, and overall health status. It employs intelligent charging algorithms that adapt to the battery's specific chemistry and characteristics, ensuring optimal charging rates and preventing overcharging or undercharging, which can degrade battery performance over time. The power management system also provides real-time feedback on battery health, alerting users when the battery requires maintenance or replacement to maintain optimal performance.

[0204] Energy analytics and optimization are facilitated by the smart soccer rebounder's 10 power management system, which collects and analyzes energy usage data to identify patterns, inefficiencies, and opportunities for improvement. The system generates detailed energy reports and visualizations that provide insights into power consumption trends, peak usage periods, and areas for optimization. These analytics enable users and administrators to make data-driven decisions regarding energy management, such as adjusting usage patterns, optimizing charging schedules, or identifying energy-hungry components that may require upgrades or replacements. By continuously monitoring and optimizing energy usage, the power management system ensures that the smart soccer rebounder 10 operates at peak efficiency, minimizing energy waste and extending battery life.

[0205] The modular design of the device's 10 energy systems facilitates the effortless incorporation of future technological advancements, such as enhanced photovoltaic materials, eco-friendly solid-state batteries, and intelligent energy optimization algorithms. This strategic foresight ensures the rebounder's continued relevance and enhances the interactive training experience for athletes. The rebounder 10 is positioned at the forefront of technological innovation, offering a scalable platform that is prepared to integrate future developments that surpass the current operational benchmarks.

[0206] One of the significant advantages of the smart soccer rebounder's 10 portable and modular design is the elimination of the need for dedicated infrastructure. Traditional training equipment often requires permanent installations, fixed power sources, or specialized facilities, limiting their usability and accessibility. However, this invention 10 is designed to be self-contained and independently functional, without relying on external infrastructure. The integrated solar panels 145 and battery power system 120 allow the rebounder 10 to operate autonomously, eliminating the need for electrical outlets or power connections.

[0207] In essence, the rebounder 10 is distinguished by its comprehensive and well managed energy solutions, marked by an integration of solar energy harvesting with solar panels 145, battery power system, intelligent power management software, robust battery protection mechanisms, versatile charging options, and mobile application synergy. This confluence of features establishes a reliable, environmentally sustainable, and technologically forward-looking platform designed to augment athletic training with dynamic interactivity. FIG. 13 illustrates this energy and power regulation mechanism.

[0208] Overall, the portable and modular design of the smart soccer rebounder 10 revolutionizes the way soccer training is conducted, providing unparalleled flexibility, convenience, and accessibility. It enables players and coaches to train anywhere, anytime, and adapt to various environments and needs, making it a must-have tool for serious soccer enthusiasts and professionals alike.

[0209] The energy generation and power regulation mechanism incorporated within the smart soccer rebounder 10, coupled with its portable and modular design, establishes a new paradigm in soccer training equipment. The integration of advanced solar charging technology 145, intelligent power management systems, and robust battery protection mechanisms ensures reliable and efficient functionality. The device's 10 symbiosis with a mobile application enhances usability and interactivity, allowing users to seamlessly modify operational parameters.

[0210] The eco-friendly and sustainable nature of the rebounder 10, achieved through the utilization of renewable solar energy, sets it apart as an environmentally conscious choice for players and clubs.

[0211] The power management system's intelligent algorithms and energy-efficient components optimize energy utilization, ensuring maximum performance and longevity. Advanced features such as intelligent power allocation, adaptive power consumption, sleep and wake modes, dynamic power scaling, battery health monitoring, and energy analytics further enhance the device's 10 energy efficiency and extend battery life.

[0212] In essence, the invention 10 described herein represents a novel and significant leap forward in the realm of soccer training equipment, offering a comprehensive solution that addresses energy efficiency, sustainability, portability, and accessibility. By harnessing the power of advanced technologies and intelligent design, the smart soccer rebounder 10 empowers players and coaches to elevate their training experiences to new heights, regardless of location, infrastructure or energy constraints.

Embodiment of the Mobile Application

[0213] The present invention 10 encompasses a specialized mobile application, identified in FIGS. 14A, 14B, 14C, 14D and 14E integral to the functionality of the smart soccer rebounder system 10. This application is essential for providing users with unparalleled control, customization capabilities, detailed performance analytics, and advanced media functionalities. It facilitates the modification of operational settings FIG. 14A, access to data analytics FIG. 14D, and the personalization of training regimens, thereby eliminating the necessity for manual adjustments and ensuring sustained training efficacy.

Connectivity and Enhanced Operational Control

[0214] Through advanced communication protocols such as but not limited to Bluetooth, Wi-Fi, and cellular data, the application achieves wireless connectivity with one or several smart soccer rebounder 10 units, as depicted in FIGS. 6A and 6B. This feature is critical for the remote activation and deactivation of the units and grants users access to both real-time and historical performance data FGI 14D. Moreover, it enables the simultaneous connection and configuration of multiple units, each of which can be identified and controlled individually within the system.

[0215] Upon successful synchronization between the mobile application FIG. 14A and a rebounder 10, the application instantaneously activates user-specific profiles, thereby reinstating personalized training configurations. For environments involving multiple units, the application can concurrently manage and adjust settings across all connected devices, ensuring a cohesive training experience.

Customization of Training Regimes

[0216] The user interface of the application FIG. 14A allows for the detailed customization of training sequences, encompassing parameters such as speed, color patterns, brightness, motion sequences, duration, and the degree of randomness or progression within the sequences. It offers a range of predefined training levels from novice to expert and permits users to design bespoke light sequences for tailored games and challenges, including the sharing of successful configurations within the user community.

[0217] Furthermore, the application synchronizes light sequences (FIGS. 6A and 6B) with auditory cues through a speaker 405, encompassing commands and ambient sounds, to enrich the training environment. The application also introduces gamification aspects, including scoring metrics FIG. 14D, positive reinforcement feedback, and competitive multiplayer functionalities to increase user engagement.

[0218] For collaborative training settings, the application supports group management, allowing coaches to control multiple rebounders 10 units synchronously, with the ability to adjust settings and difficulty levels through a singular interface FIG. 14A illustrates this.

Advanced Performance Analytics

[0219] Utilizing data collected via an embedded sensor array consisting of piezoelectric sensors 200, light dependent sensors 205, LiDAR sensor 220 and camera 225 in the rebounder 10, and wearable 50, the application provides extensive analytics on individual and group performance. It delivers metrics such as shot velocity, accuracy of impact, target completion rates, ball control durations, and agility scores, as exemplified in FIGS. 14B and 14D. This allows for the dynamic adaptation of training parameters to accommodate both individual and team settings.

[0220] The application presents trends, progress, and comparisons via graphical representations such as charts and heatmaps. An integrated AI assistant offers personalized skill development advice and training load recommendations based on performance data.

[0221] Through cloud integration, the application enables remote access to training videos and photos, facilitating session reviews, technique assessments, and social sharing. It incorporates basic video editing tools for enhanced content analysis.

Enhanced Networking and Collaborative Training

[0222] The application FIG. 14A, facilitates synchronized multi-user training, incorporating diverse training techniques and comprehensive participant tracking. It integrates augmented reality (AR) glasses or headset 70 equipped with microphones and speakers to enable verbal interactions and synchronized audio playback, creating immersive training simulations.

Safety and Ergonomic Considerations

[0223] The mobile app FIG. 14A-14E integrates safety protocols, including child protection measures, prioritizing user health and minimizing injury risks. It notifies users to take water breaks or limit time of use. It limits the type of training one can do based on their age. Wearable sensors 50 may also track vital signs in a user and notify them of any red flags through the mobile app and track over time.

Future Application Integrations

[0224] Anticipating future developments, the application's modular software architecture is designed for seamless incorporation of additional functionalities, leveraging artificial intelligence FIG. 15, augmented reality and virtual reality technologies 70. Proposed enhancements include technique modification guidance via 3D skeletal analysis, VR-based opponent simulations, and motion capture technique comparisons.

[0225] The described mobile application affords comprehensive management of the smart soccer rebounder 10 system's settings and provides access to detailed performance analytics as shown in FIGS. 14A, 14B, 14C, 14D and 14E. This ensures measurable improvements in user skills and positions the system at the forefront of connected sports technology advancements.

Artificial Intelligence and Machine Learning Ecosystem

[0226] The novel and innovative smart soccer rebounder 10 system seamlessly integrates a robust Artificial Intelligence (AI) and Machine Learning (ML) ecosystem to revolutionize the realm of soccer training. The AI/ML ecosystem is a critical component of the system, enabling the provision of personalized, adaptive, and immersive training experiences that optimize skill development and player performance. FIG. 15 is a flow chart illustrating a high level view of the Artificial Intelligence and Machine Learning ecosystem of the smart soccer rebounder 10.

[0227] At the core of the AI/ML ecosystem is the acquisition of high-quality, granular sensor data from a comprehensive array of strategically placed sensors. As earlier described these sensors include, but are not limited to, piezoelectric sensors 200, light-dependent sensors 205, Light Detection and Ranging (LiDAR) sensors 220, cameras 225, and wearable sensors 50 such as Inertial Measurement Units (IMUs) 510 comprising accelerometers, gyroscopes, and magnetometers. The aforementioned sensors work in concert to capture critical data pertaining to the user's performance, including, but not limited to, footwork accuracy, ball impact location, shot power, and biomechanical data.

[0228] The piezoelectric sensors 200 and light-dependent sensors 205 are specifically configured to detect the precise location and force of ball impacts on the rebounder surface. Concurrently, the LiDAR sensors 220 and camera 225 generate a detailed spatial map of the user's movements and ball trajectory, providing valuable context for performance analysis. The wearable shoe clip sensors 50 with IMU's 510, ingeniously integrated into the shoe clips, furnish essential insights into the user's foot placement, orientation, and biomechanics during kicks and ball interactions.

[0229] Upon acquisition, the raw sensor data undergoes a series of sophisticated processing steps to extract meaningful insights. The data processing pipeline employs state-of-the-art AI and ML techniques to filter, normalize, and transform the data into a suitable format for analysis. A key aspect of this process is the application of advanced noise filtering algorithms to eliminate irrelevant or erroneous data points, thereby ensuring the integrity and reliability of the processed data.

[0230] A pivotal component of the data processing stage is the utilization of a Convolutional Neural Network (CNN) for feature extraction. The CNN, a deep learning architecture optimized for processing spatial data, takes in the raw sensor data and learns to identify and extract salient features indicative of the user's performance. For instance, the CNN can detect intricate patterns in the piezoelectric sensor data that correspond to different types of kicks or ball impact locations, enabling fine-grained analysis of the user's technique.

[0231] To effectively capture the temporal aspects of the user's movements and ball dynamics, the CNN is intelligently combined with recurrent neural layers, such as Long Short-Term Memory (LSTM) networks. LSTMs are particularly well-suited for processing sequential data, allowing the AI system to correlate spatial features over time. This enables the AI to develop a comprehensive understanding of the context and progression of the user's actions, facilitating accurate predictions and in-depth analysis.

[0232] Leveraging the processed sensor data and extracted features, the AI system conducts rigorous performance analytics to assess the user's skills and identify areas for improvement. The AI algorithms meticulously analyze a wide array of performance metrics, including, but not limited to, shot accuracy, power, consistency, and reaction time. By comparing these metrics against curated benchmarks or the user's historical data, the system provides objective and data-driven evaluations of the user's proficiency level.

[0233] The performance analytics module employs advanced techniques, such as anomaly detection, to identify any deviations from optimal technique or movement patterns. For example, if the user's kick exhibits an atypical foot placement or suboptimal weight transfer, the AI can promptly flag it as an area requiring attention and improvement. This granular level of analysis empowers the system to provide targeted feedback and recommendations, facilitating the user's skill refinement.

[0234] To assess different aspects of the user's performance simultaneously, the AI/ML ecosystem leverages multi-task learning-a technique that trains a model to perform multiple tasks at the same time. The AI model is trained to evaluate multiple soccer skills, such as ball control, passing accuracy, and agility, using a shared representation of the sensor data. This holistic approach enables the system to develop a comprehensive understanding of the user's abilities, allowing for the provision of all-encompassing feedback across various facets of their game.

[0235] One of the primary objectives of the AI/ML ecosystem is the identification of skill gaps and the generation of personalized training recommendations. By analyzing the user's performance data and comparing it against established benchmarks or expert models, the system can pinpoint specific areas where the user needs improvement. The AI algorithms employ sophisticated clustering techniques to group users with similar skill profiles and identify common patterns or deficiencies. This enables the system to suggest targeted drills or exercises that address the specific skill gaps of each user. For instance, if the AI detects that a user consistently struggles with long-range shots, it can recommend training routines focused on power generation and shot technique refinement.

[0236] FIG. 15 illustrates how to efficiently adapt the AI models to new users, the system employs transfer learning-a technique that involves using knowledge gained from already performed tasks to solve a related problem. By leveraging the knowledge gained from training on a vast dataset of soccer players, the system can rapidly customize the models to individual users. This allows for swift skill assessment and personalized feedback, even for users with limited historical data. The AI/ML ecosystem continuously learns and adapts based on the user's interactions, performance data, and feedback, further refining its algorithms and improving the accuracy of its recommendations over time.

[0237] Based on the identified skill gaps and the user's current proficiency level, the AI system generates personalized training plans and drills. The training customization module takes into account various factors, such as the user's age, fitness level, and specific goals, to create an optimized training regimen. The AI employs advanced optimization algorithms to determine the most effective sequence and intensity of drills to maximize skill improvement. It dynamically adjusts the difficulty level and complexity of the training sessions based on the user's progress and performance, ensuring a challenging yet achievable training experience.

[0238] The training customization extends to the illumination components of the smart soccer rebounder 10. The AI intelligently controls the LED displays 210 and lighting patterns to create interactive and adaptive training scenarios. For instance, the AI can generate moving targets or specific light sequences that challenge the user's reaction time, footwork, or ball control. These visual cues are seamlessly synchronized with the user's movements and performance, providing real-time feedback and guidance. The AI algorithms continuously analyze the user's interactions with the illumination components, adapting the patterns and sequences to maintain an optimal level of engagement and difficulty.

[0239] In addition to visual feedback, the AI system provides intelligent audio feedback to enhance the training experience. The audio feedback module analyzes the sensor data in real-time and generates context-aware verbal cues and instructions. Leveraging advanced natural language processing techniques, the AI creates clear, concise, and easily comprehensible audio prompts that guide the user through the training sessions. The intelligent audio feedback adapts to the user's performance dynamically, providing positive reinforcement for successful actions and constructive feedback for areas requiring improvement.

[0240] To maximize the impact of the audio feedback on the user's learning and engagement, the AI optimizes the timing and content of the audio cues. It takes into account factors such as the user's attention span, cognitive load, and the specific training context to deliver feedback at the most opportune moments. This ensures that the audio cues are actionable and readily internalized by the user, facilitating rapid skill acquisition and refinement.

[0241] The AI/ML ecosystem also plays a vital role in optimizing energy generation and consumption within the smart soccer rebounder system 10. The AI algorithms continuously analyze data from the solar panels 145 and battery management system to make intelligent decisions regarding power allocation and usage. By predicting the expected power output based on factors such as weather conditions, time of day, and historical data, the AI optimizes the charging cycles and ensures the efficient utilization of the generated energy.

[0242] To minimize energy consumption without compromising the system's performance, the AI employs advanced power management techniques. It dynamically adjusts the power settings of various components, such as the LED displays 210, sensors, and processing units, based on the current usage patterns and training requirements. By intelligently managing power resources, the AI extends the operating time of the smart soccer rebounder 10 and reduces the need for frequent recharging, enhancing the system's overall energy efficiency.

[0243] The mobile application FIG. 14A serves as a seamless and intuitive interface between the user and the AI/ML ecosystem, providing users with effortless control over the smart soccer rebounder's settings, training modes, and performance analytics. The AI powers various features within the mobile app FIG. 14A, to enhance user engagement and experience. The app leverages the AI's real-time data processing capabilities to display live performance metrics and visualizations, allowing users to access detailed breakdowns of their training sessions, including shot accuracy, power, and consistency.

[0244] The AI generates interactive heatmaps, charts, and graphs that highlight areas of strength and improvement, enabling users to track their progress over time. The mobile app FIG. 14A also facilitates personalized training recommendations, with the AI suggesting specific drills, challenges, and training routines that align with the user's goals and skill level. Users can customize their training plans, set targets, and receive AI-generated feedback and guidance directly through the app, fostering a sense of ownership and engagement in their skill development journey.

[0245] To promote social connectivity and healthy competition among users, the mobile app incorporates AI-powered features that match users with similar skill profiles and create leaderboards or challenges. This motivates users to engage with the app regularly, share their training achievements, compete with friends, and collaborate on skill development. The AI algorithms analyze user interactions and preferences to recommend relevant challenges, leaderboards, or social connections, enhancing the overall user experience and promoting a vibrant community of soccer enthusiasts.

[0246] The AI/ML ecosystem within the smart soccer rebounder system is designed with modularity and adaptability in mind, allowing for seamless integration of future advancements in AI and ML technologies. As new techniques and algorithms emerge, the system can readily incorporate them to further refine its capabilities and provide even more sophisticated feedback and training experiences.

[0247] One potential area of future enhancement is the integration of advanced computer vision techniques for real-time 3D pose estimation and motion analysis. By leveraging these cutting-edge technologies, the AI could provide exceptionally granular feedback on the user's technique, identifying subtle nuances in body positioning, foot placement, and ball striking mechanics. The AI would compare the user's movements against optimal biomechanical models, offering precise adjustments to improve efficiency, prevent injuries, and maximize performance.

[0248] Another exciting avenue for future development is the incorporation of virtual reality (VR) technologies into the smart soccer rebounder system. The AI could generate immersive training simulations that replicate game-like scenarios, allowing users to practice decision-making, spatial awareness, and tactical skills in a realistic environment. The VR integration would provide a highly engaging and interactive training experience, bridging the gap between isolated skill development and on-field performance. The AI would adapt the virtual environment and scenarios based on the user's performance, ensuring a challenging and personalized training experience.

[0249] The AI/ML ecosystem could also leverage advanced data analytics and machine learning techniques to identify patterns and trends across a larger user base. By analyzing aggregated performance data from multiple users, the AI could uncover valuable insights into common skill gaps, optimal training strategies, and player development trajectories. This knowledge could be used to refine the AI's algorithms, improve training customization, and provide coaches and players with data-driven insights to inform their training approaches. The AI could also identify correlations between specific training patterns and injury risk, allowing for proactive interventions and personalized injury prevention programs.

[0250] To further enhance the user experience and provide a holistic training solution, the AI/ML ecosystem could integrate with external data sources and other wearable devices. For instance, by syncing with the user's fitness tracker or smartwatch, the AI could factor in the user's overall physical condition, sleep patterns, and recovery metrics when generating training recommendations. This integration would enable the AI to optimize training load, prevent overtraining, and ensure that the user is in the best physical and mental state for peak performance.

[0251] The Artificial Intelligence/Machine Learning ecosystem within the smart soccer rebounder system 10 represents a groundbreaking advancement in the field of soccer training technology. By seamlessly integrating state-of-the-art sensor technologies, advanced data processing techniques, and cutting-edge machine learning algorithms, the system provides users with personalized, adaptive, and immersive training experiences that optimize skill development and player performance. The AI/ML ecosystem forms the backbone of the smart soccer rebounder 10, enabling it to analyze player movements, ball dynamics, and training contexts with unparalleled precision, and generate intelligent, real-time feedback that facilitates rapid skill acquisition and refinement.

[0252] From the initial stages of sensor data acquisition to the generation of personalized training recommendations and interactive training experiences, the AI/ML ecosystem plays a pivotal role in enhancing every aspect of the soccer training process. The system's ability to identify skill gaps, create customized training plans, and provide real-time visual and audio feedback sets it apart from traditional training methods, offering a revolutionary approach to soccer skill development.

[0253] The seamless integration of the AI/ML ecosystem with the mobile application further amplifies user engagement and empowerment, allowing users to track their progress, set goals, and connect with a vibrant community of soccer enthusiasts. The AI-powered features within the app, such as personalized recommendations, interactive visualizations, and social challenges, foster a sense of motivation, collaboration, and healthy competition among users.

[0254] As the AI/ML technologies continue to evolve at a rapid pace, the smart soccer rebounder 10 system is well-positioned to incorporate future advancements and push the boundaries of what is possible in soccer training. The system's modular architecture and adaptable framework enable the seamless integration of emerging technologies, such as computer vision, VR/AR, and advanced data analytics, promising even more immersive, effective, and transformative training experiences in the future.

[0255] The AI/ML ecosystem within the smart soccer rebounder 10 system represents a significant leap forward in sports technology, harnessing the power of artificial intelligence and machine learning to revolutionize the way soccer players train, develop their skills, and unlock their full potential. By providing personalized, data-driven, and engaging training experiences, the smart soccer rebounder 10 sets a new standard for soccer training equipment, empowering players of all skill levels to excel in the beautiful game.

Enhanced Augmented Reality Framework

[0256] The smart soccer rebounder may include an advanced augmented reality (AR) module integrated within the smart soccer rebounder apparatus 10, engineered to provide a deeply immersive and interactive training milieu for both individual and multiple participants. This sophisticated AR module may be instantiated through the deployment of state-of-the-art AR headgear 70, equipped with binocular display technology and internal motion detection cameras, obviating the necessity for auxiliary smartphone integration and thereby offering a unified, self-contained wearable solution.

[0257] Incorporated within said AR headgear 70 are audio input and output devices, namely microphones and speakers, designed to facilitate oral communication between players. This functionality significantly enhances the group training experience by enabling synchronized team maneuvers and strategic exchanges.

[0258] FIG. 16 represents the core technology underpinning the immersive experience. The Real-time Simultaneous Localization and Mapping (SLAM) algorithm, is instrumental in generating precise mesh-based reconstructions of the players' immediate physical environment. This meticulous mapping of environmental structures and reference points allows for the seamless amalgamation of virtual componentssuch as soccer balls, playfields, adversaries, and various atmospheric effectswithin the real-world context, thus augmenting the user's sensory immersion.

[0259] A distinctive feature of the AR training mode is the synchronization of virtual impediments with the physical rebounder structures. This encompasses the digital portrayal of competitors or pre-defined AR human avatars, thereby enriching the realism of training scenarios through the introduction of defensive or navigational challenges. Importantly, the spatial alignment and orientation of these virtual elements are consistently maintained, irrespective of the player's movements within the physical setting, courtesy of continuous algorithmic adjustment of the user's viewpoint in relation to the environmental meshwork.

[0260] The application of predictive modeling, powered by machine learning algorithms, enables the virtual representation of opponents and teammates to exhibit lifelike reactions and movements in response to the real-time actions of players. This dynamic adjustment and response mechanism is underpinned by behavioral algorithms that have been refined through the analysis of extensive datasets capturing human motion, thus facilitating the simulation of authentic athletic behavior.

[0261] The AR system further leverages advanced graphic rendering techniques, including ambient occlusion and precise physics simulations, to emulate the intricate dynamics of a real soccer match, thereby enhancing the authenticity of the training experience. This includes the simulation of physical exertion indicators such as fatigue and perspiration.

[0262] For multi-user engagement, the system enables the integration of participants from geographically disparate locations into a unified, synchronized training session through the application of cloud anchoring and peer-to-peer WebRTC protocols. This facilitates a coherent shared experience, fostering both collaborative and competitive training endeavors. In other words, users of the rebounders AR systems can be in different places but enjoy the same experience as if they were teammates or opponents on the same soccer field.

[0263] The realism of interaction between tangible and digital elements is heightened through physics-based modeling, meticulously replicating the soccer ball's behavior in accordance with the physical laws governing motion, thus mirroring the authenticity of an actual match. The system's attention to detail extends to the simulation of environmental effects, such as perspiration, dust, and ball deformations resulting from impact.

[0264] To enhance user comfort and mitigate the risk of motion-induced discomfort, the system contemplates the integration of eye-tracking technology, enabling adaptive visual adjustments tailored to the user's gaze, thereby optimizing the immersive experience.

[0265] The AR module provides extensive customization capabilities, allowing users to tailor training sessions according to specific preferences, including but not limited to, selecting various playfields, opponent attributes, and environmental conditions. This customization is seamlessly incorporated into the augmented gameplay, ensuring consistent integration of global lighting and physics effects.

[0266] Additionally, the system may offer features for the recording and replay of mixed reality training sessions, facilitating post-session analysis, sharing, and entertainment. This allows users to capture and review gameplay footage within the mixed reality environment for performance enhancement and social sharing.

[0267] In summary, the smart soccer rebounder 10 may integrate cutting-edge AR rendering technologies, intelligent mimicking of player actions, precise physics simulation, advanced graphical rendering, and robust multiplayer networking capabilities, culminating in a versatile and realistic training platform for soccer-related activities. Designed for compatibility with existing commercial AR hardware and adaptable for future technological advancements, this system represents a forward-looking approach to interactive sports training.

[0268] The present invention, as detailed in this specification and supported by the accompanying drawings, represents a groundbreaking advancement in the field of soccer training equipment. The smart soccer rebounder 10, with its innovative design, advanced sensor technology, AI-driven features, and interactive training capabilities, sets a new standard for skill development and player engagement. As evidenced by the detailed description and the numerous embodiments presented herein, the invention 10 successfully addresses the limitations of existing soccer training devices, offering a comprehensive solution that integrates cutting-edge technology and dynamic training methodologies

[0269] The smart soccer rebounder 10 is not merely an incremental improvement over existing products but a significant leap forward in terms of functionality, adaptability, and user experience. The invention's unique combination of features distinguishes it from prior art and establishes its novelty and non-obviousness.

[0270] Furthermore, the level of detail and clarity provided in this specification, along with the accompanying drawings, ensures that a person of ordinary skill in the relevant technical field would be able to make and use the invention without undue experimentation. The disclosure provides a clear and concise description of the invention's components, their interrelationships, and the steps necessary to construct and operate the smart soccer rebounder 10.