System and method for improving exercise performance using a mobile device
Abstract:
A computing device for implementing a sensor-less method to improve exercise performance is described. An engine of the computing device receives, from a camera of the computing device, video exercise data associated with a user performing an active exercise and then converts the video via a deep learning algorithm to one or more movements of a user's skeleton in real-time performing the active exercise. A first movement of the one or more movements is compared to a predictive model associated with an ideal performance of the first movement. A confidence score is assigned to the comparison. Feedback data is transmitted to a graphical user interface of the computing device for display to the user, where the feedback data includes the confidence score and instructions on how the user can improve the first movement to raise the confidence score.
Information query
Patent Agency Ranking
0/0