A system having a gesture sensor is provided. The gesture sensor includes an image sensing unit and a processing unit. The image sensing unit captures at least one gesture image of the user. The processing unit is electrically connected to the image sensing unit. The processing unit sends at least one control command to a control valve of the system according to the gesture image to change a status of the flow.

An exercise coaching device based on artificial intelligence is proposed. According to an exemplary embodiment, an exercise pose extraction unit of the exercise coaching device may generate pose data by extracting an exercise pose of an exercising object from an exercise image captured by an image capturing unit. In addition, an exercise pose analysis unit may receive the pose data based on the artificial intelligence and infer whether the exercise pose is in a correct posture. In addition, the exercise coaching device according to the exemplary embodiment may be configured to further include a coaching information output unit configured to output exercise coaching information on the basis of an inference result of the exercise pose analysis unit. In this way, whether the exercise posture is correct or not is inferred accurately on the basis of the artificial intelligence, and thus appropriate exercise coaching information may be provided to a user.

A system and method for monitoring performance of a physical exercise routine. The system comprises a plurality of motion and position sensors configured to generate sensory information including at least a rate of movements of a user performing the physical exercise routine; a database containing routine information representing at least an optimal execution of the physical exercise routine; a training module configured to: compare the generated sensory information to the routine information to detect at least dissimilarities respective thereof, wherein the dissimilarities indicate if the pace of performing the physical exercise routine is incorrect; provide feedback to the user with at least instructions related to correcting the pace of performing the physical exercise routine; and a display for displaying the feedback.

Systems and methods for creating personalized exercise programs are disclosed. An image capture device and a computer device are used to capture images of a user while the user performs athletic movements. The images may then be evaluated to create a human movement screen score. The human movement screen score, goal and time commitment information may then be used to create a personalized exercise program tailored to the specific user.

A Kinect-based auxiliary training system for basic badminton movements, includes a data collection module, a movement feature extraction and recognition module, and a movement standard degree analysis and guidance module. The data collection module is provided with a Kinect v2 somatosensory device for monitoring athletes in real time, and collecting 3D coordinate data of 25 joint points of athletes' whole body. The movement feature extraction and recognition module is provided for establishing a standard template, and obtaining a similarity between the movement data and the standard template. The movement standard degree analysis and guidance module is provided for determining a category of the current movement of the user to be tested according to the similarity, and further analyzing whether the current movement of the user to be tested meets a standard according to a threshold range of the bone included angle set by a technology evaluation rule.

Systems and methods are disclosed for generating and providing guided practices and coaching feedback (e.g., illustrated in 3D images, video, or audio) that allow golfers to follow along to improve their physical swing in a digital environment. The feedback may be provided with a 3D avatar using a biomechanical analysis of observed actions with a focus on representing actions through computer-generated 3D avatars. Physical quantities of biomechanical actions can be measured from the observations, and the system can analyze these values, compare them to target or optimal values, and use the observations and known biomechanical capabilities to generate the guided practices and coaching feedback.

A smart soccer goal for tracking and communicating motion of objects includes a goal frame; a net coupled to the goal frame including a plurality of lights; and one or more sensors coupled to the goal frame. A first sensor of the one or more sensors is directed to detecting movement within and immediately near the smart soccer goal and a second sensor of the one or more sensors is directed to detecting movement outside of the smart soccer goal.

An interactive exercise method includes streaming exercise content to an interactive video system for display via a mirror, the exercise content including a depiction of an instructor performing a repetitive movement. A video stream of a user performing the repetitive movement is received, via a camera of the interactive video system, and the user is detected in the video stream. The user or a body portion thereof is tracked in the video stream as the user performs the repetitive movement. The method also includes generating a measure of a difference between a form of the user performing the repetitive movement and a predetermined form for the repetitive movement. A corrective movement is displayed to the user, via the display and during the display of the instructor performing the repetitive movement, based on the measure, to conform the form of the user to the predetermined form for the repetitive movement.

Systems and methods are disclosed for generating and providing guided practices and coaching feedback (e.g., illustrated in 3D images, video, or audio) that allow golfers to follow along to improve their physical swing in a digital environment. The feedback may be provided with a 3D avatar using a biomechanical analysis of observed actions with a focus on representing actions through computer-generated 3D avatars. Physical quantities of biomechanical actions can be measured from the observations, and the system can analyze these values, compare them to target or optimal values, and use the observations and known biomechanical capabilities to generate the guided practices and coaching feedback.

Systems and methods are disclosed for generating a 3D avatar and object fitting recommendations using a biomechanical analysis of observed actions with a focus on representing actions through computer-generated 3D avatars. Physical quantities of biomechanical actions can be measured from the observations, and the system can analyze these values, compare them to target or optimal values, and use the observations and known biomechanical capabilities to generate the 3D avatars and object fitting recommendations.