AI-powered sports training system with enhanced motion synchronization and comparative analysis capabilities

A method implemented via execution of computing instructions by one or more processing devices and configured to be stored on one or more non-transitory storage devices, the method comprising:

• providing access to a sports training system that enables creation and dissemination of motion templates, wherein the sports training system includes or communicates with a computer vision system trained to analyze video sequences corresponding to biomechanical sport motions and integrate motion features corresponding to the biomechanical sport motions into the motion templates;
• receiving a reference video sequence capturing a biomechanical sport motion from a first end-user;
• extracting, using one or more motion analysis models of the computer vision system, motion features from the reference video sequence;
• generating a motion template that integrates the reference video sequence with the extracted motion features, wherein the motion template stores, or provides access, to the reference video sequence, the motion features extracted from the reference video sequence, and at least one feedback mechanism;
• providing access to the motion template via a template management system of the sports training system;
• receiving a request from a second end-user to access the motion template via the template management system;
• receiving a second video sequence from the second end-user that captures a second biomechanical sport motion;
• executing, using the at least one feedback mechanism associated with the motion template, a comparative motion analysis on the motion features corresponding to the reference video sequence and a second set of motion features extracted from the second video sequence;
• and
• generating an evaluation output based, at least in part, on a result of the comparative motion analysis performed on the reference video sequence and the second video sequence.

A system comprising one or more processing devices and one or more non-transitory storage devices for storing instructions, wherein execution of the instructions by the one or more processing devices causes the one or more processing devices to perform functions comprising:

• providing access to a sports training system that enables creation and dissemination of motion templates, wherein the sports training system includes or communicates with a computer vision system trained to analyze video sequences corresponding to biomechanical sport motions and integrate motion features corresponding to the biomechanical sport motions into the motion templates;
• receiving, from a computing device operated by a trainer end-user, a reference video sequence capturing a biomechanical sport motion;
• extracting, using one or more motion analysis models of the computer vision system, motion features from the reference video sequence;
• generating a motion template that integrates the reference video sequence with the extracted motion features, wherein the motion template serves as a benchmark for training and the motion template stores, or provides access, to the reference video sequence, the motion features extracted by the one or more motion analysis models of the computer vision system, and at least one feedback mechanism that provides guidance, instructions, or feedback based on an analysis of trainee-provided video sequences;
• deploying the motion template on a template management system of the sports training system that facilitates access to the motion template by one or more trainee end-users;
• receiving, from a second computing device operated by at least one trainee end-user, a request to access the motion template via the template management system;
• receiving, from the second computing device operated by at least one trainee end-user, a second video sequence that captures a second biomechanical sport motion;
• executing, using the at least one feedback mechanism associated with the motion template, a comparative motion analysis on the motion features corresponding to the reference video sequence and a second set of motion features extracted from the second video sequence received from the at least one trainee end-user;
• and
• generating an evaluation output, at least in part, using a result of the comparative motion analysis performed on the reference video sequence associated with the motion template and the second video sequence received from the at least one trainee end-user.