Abstract: The present technology provides systems, methods and computer program instructions implementing an automated technology for automated creation of movement assessments from labeled video and continually learning audio, video or other feedback for use with machine learning techniques enable program processes to learn more effective feedback mechanisms to achieve desired results (e.g., reduce errors, improve form, duration, speed, and so forth) of motions and poses comprising tasks being taught or guided. In implementations machine learning techniques enable program processes to learn more effective feedback mechanisms to achieve desired results (e.g., reduce errors, improve form, duration, speed, and so forth) of motions and poses comprising tasks being taught or guided.
Type:
Application
Filed:
March 30, 2022
Publication date:
October 13, 2022
Applicant:
EXER Labs, Inc.
Inventors:
Sean Christopher COOK, Zaw Lynn THET, Clint J. GEHDE, Nicole Xiaoxuan AW, Daniel James FISHER, Nicolas ARELLANO
Abstract: The present technology provides systems, methods and computer program instructions implementing machine learning techniques to enable program processes to learn more effective feedback mechanisms to achieve desired results (e.g., reduce errors, improve form, duration, speed, and so forth) of motions and poses comprising tasks being taught or guided. In implementations an automated technology for automated creation of movement assessments from labeled video and continually learning audio, video or other feedback for use with machine learning techniques enable program processes to learn more effective feedback mechanisms to achieve desired results (e.g., reduce errors, improve form, duration, speed, and so forth) of motions and poses comprising tasks being taught or guided.
Type:
Application
Filed:
March 30, 2022
Publication date:
October 13, 2022
Applicant:
EXER Labs, Inc.
Inventors:
Sean Christopher COOK, Zaw Lynn THET, Clint J. GEHDE, Nicole Xiaoxuan AW, Daniel James FISHER, Nicolas ARELLANO