Classification of musculoskeletal form using machine learning model

US11557215B2 · kind B2 · utility

Assignee

• Physera, Inc. · US

Inventors

• Yigal Dan Rubinstein · Los Altos, US
• Cameron Alexander Marlow · Menlo Park, US
• Todd Riley Norwood · Redwood City, US
• Jonathan Chang · San Francisco, US
• Shane P. Ahern · Belmont, US
• Daniel Matthew Merl · Livermore, US

Key dates

• Filing date: Aug 7, 2018
• Grant date: Jan 17, 2023
• Expiry date: Mar 22, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G09G2340/12
• WIPO field: Control
• WIPO sector: Instruments

Abstract

An exercise feedback system receives exercise data such as images or video captured by client devices of users performing exercises. The exercise feedback system may access a machine learning model trained using image of a population of users. The images used for training may be labeled, for example, as having proper or improper musculoskeletal form. The exercise feedback system may determine a metrics describing the musculoskeletal form of a user by applying the trained machine learning model to images of the user as input features. The exercise feedback system may generate feedback for a certain exercise using the metrics based on output predictions of the model. The feedback can be provided to a client device of the user or a physical therapist for presentation.