Limb dyskinesia recognition and active movement auxiliary control method based on computer vision

By combining computer vision and torque-supported evidence, precise identification and active assisted control of patients' multi-joint movements are achieved, overcoming the shortcomings of existing systems in identifying movement disorders and compensatory behaviors, and improving the accuracy and safety of rehabilitation training.

CN121582292AActive Publication Date: 2026-02-27GUANGXI UNIVERSITY OF TECHNOLOGY
4 Cites 0 Cited by

Patent Information

Application Number
CN202511705967.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-20
Publication Date
2026-02-27
Estimated Expiration
2045-11-20

AI Technical Summary

Technical Problem

Existing rehabilitation training systems struggle to acquire real-time spatial coordinates and joint angle information of multiple joints in the patient's upper and lower limbs without adding extra mechanical burden, and to identify postural changes in joints such as the shoulder, elbow, wrist, hip, knee, and ankle. In particular, they have difficulty distinguishing between movement disorders and compensatory behaviors, leading to improper assistance or sports injuries.

Method used

By acquiring multi-joint three-dimensional motion information through computer vision, combining force and torque support evidence, identifying motion disorders and compensatory behaviors, outputting intention intensity and compensation index, generating motion-assisted control commands, and implementing active motion-assisted control through joint drive assistance, torque compensation, trajectory amplification, mechanical limit or damping, etc.

Benefits of technology

It significantly improves the accuracy, safety, and effectiveness of rehabilitation training, enabling earlier and more accurate identification of abnormal patterns, providing individualized and phased support strategies, and avoiding training failure or injury.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention provides a limb dyskinesia recognition and active exercise auxiliary control method based on computer vision, and relates to the technical field of exercise rehabilitation engineering. According to the method, the motion image sequence of the upper limbs and / or the lower limbs of the patient is obtained, the multi-joint three-dimensional coordinates are extracted to form the spatial position data, and the joint angles and the angular speeds are calculated to obtain the joint motion state data. Combining with the torque support evidence, identifying joint angle deviation, angular velocity abnormity and compensation behaviors, generating a dyskinesia identification result containing intention intensity and compensation indexes, and determining target auxiliary joint and auxiliary torque output according to the dyskinesia identification result; and active motion auxiliary control is implemented in modes of joint driving assistance, torque compensation, track amplification or lateral force compensation and the like. According to the invention, fine recognition and self-adaptive assistance of dyskinesia can be realized without additional wearable equipment, and the accuracy and safety of rehabilitation training are improved.
Need to check novelty before this filing date? Find Prior Art