Apparatus, systems, and methods for monitoring the performance of an individual during a fitness activity are disclosed. A method of monitoring the performance of a participant engaged in a fitness activity includes receiving a GPS signal during the fitness activity at a portable fitness device used by the participant; determining participant performance data based on the received GPS signal; at a stationary position beacon, transmitting location data associated with the location of the stationary position beacon; at a mobile participant receiver supported by the participant, receiving the location data from the stationary position beacon; and modifying the participant performance data based on the data received from the stationary position beacon.

An apparatus and method for three-dimensional (3D) geometric data compression, includes storage of a first 3D geometric mesh of a first data size, which includes a 3D representation of a plurality of objects in a 3D space. The apparatus includes circuitry that receives motion tracking data of the plurality of objects from a plurality of position trackers. The motion tracking data includes motion information of each of the plurality of objects from a first position to a second position in the 3D space. The 3D geometric mesh is segmented into a plurality of 3D geometric meshes corresponding to the plurality of objects, based on the motion tracking data. As a result of the segmentation of the 3D geometric mesh before encoding and the use of motion tracking data, the plurality of 3D geometric meshes are efficiently encoded.

A smart ball-machine uses artificial intelligence to train a player or to play with a player. For example, the ball-machine can adjust the tennis ball speed, topspin, bounce according to the player's successful ball return rate. The ball-machine can be preconfigured with a profile of a player. For example, the ball-machine may download a complete profile of a tennis player from a game recording, or may download a file with a customized profile of a player to train a player using the ball-machine. The ball-machine is equipped with a plurality of wheels, motors, and shafts to provide a fully customizable launch of one or more balls. For example, the ball can be launched from the machine from one side of a tennis court to another side of a tennis court with a variety of speeds, trajectories, topspin, bounce etc.

A system for monitoring and recording and processing an activity includes one or more cameras for automatically recording video of the activity. A processor and memory associated and in communication with the camera is disposed near the location of the activity. The system may include AI logic configured to identify a user recorded within a video frame captured by the camera. The system may also detect and identify a user when the user is located within a predetermined area. The system may include a video processing engine configured to process images within the video frame to identify the user and may modify and format the video upon identifying the user and the activity. The system may include a communication module to communicate formatted video to a remote video processing system, which may further process the video and enable access to a mobile app of the user.

A smart ball-machine uses artificial intelligence to train a player or to play with a player. For example, the ball-machine can adjust the tennis ball speed, topspin, bounce according to the player's successful ball return rate. The ball-machine can be preconfigured with a profile of a player. For example, the ball-machine may download a complete profile of a tennis player from a game recording, or may download a file with a customized profile of a player to train a player using the ball-machine. The ball-machine is equipped with a plurality of wheels, motors, and shafts to provide a fully customizable launch of one or more balls. For example, the ball can be launched from the machine from one side of a tennis court to another side of a tennis court with a variety of speeds, trajectories, topspin, bounce etc.

A sports and performance media positional detection system, comprising: at least two elements, with at least one element involved in the sporting activity; a power source; and machine-to-machine communication, which are collectively arranged such that if any two or more elements interact, their electromagnetic properties can be detected thus allowing the position of the interacting elements to be communicated to a decision maker. The system can be applied to at least one stationary element, which can be the playing surface, lines defining the boundaries, or a set of goalposts; and at least one moving element, which could be a ball, footwear, or the participants themselves. The system can also be applied to performance media capture.

The present invention, in some embodiments thereof, relates to sport's equipment comprising of “thin film” and “flexible electronics” that mimic and conform to the assembly components of traditional, non-interactive, sport's equipment. The layers of the equipment contain electrical and computing circuits in the form of one or more of an active mesh, active stitching, and/or active piping that mimics components otherwise made of leather, fabric, yarn or other non-conductive materials of a sport's equipment. Further provided for is the use of a suitable wireless technology to transmit the data collected by the digitally active implements to an external computer, which is capable of receiving the data to perform a simulation or computation for a sporting exercise.

A system and method for evaluation, detection, conditioning, and treatment of neurological functioning and conditions which uses data obtained while a person is engaged in simultaneously in a range of primary physical tasks combined with defined types of associative activity, such as listening, reading, speaking, mathematics, logic puzzles, navigation of a virtual environment, recall of past stimuli, etc. The data from the physical and associative activities are combined to generate a composite functioning score visualization indicating the relative functioning of areas aspects of neurological functioning; including those in which deficiencies may be present, which are early indicators of possible neurological conditions. Through algorithmic recommendations combined with expert and user input, a conditioning regimen targeting neurological aspects of interest paired with periodic testing allows the user to track their progress in these areas over time.

A computer-implemented American soccer training and evaluation method that includes subjecting a drilling user to predefined drilling protocol(s) of a plurality of American soccer drilling assemblies and obtain, from each pre-defined drilling protocol(s) of the plurality of American soccer drilling assemblies and from at least one sensor on each of the assemblies, at least one user physical characteristic of the drilling user. The user physical characteristic is communicated to an administrative server over a network, where it is stored and used to create a drilling user performance profile having individualized performance comparisons with respect to the at least one user physical characteristic of the drilling user and a performance benchmark. Then, the drilling user performance profile is communicated to at least one of a plurality of electronic computing devices of a plurality of consuming users for evaluation and review.

Example implementations relate to tracking objects such as, for example, sport participants using a combination of LIDAR and visual camera image data.