Musculoskeletal rehabilitation posture correction method and system based on visual recognition

By collecting and analyzing posture video data of rehabilitation subjects, a multi-dimensional adaptation relationship is established, and hierarchical and phased correction guidance information is generated. This solves the problems of subjectivity and single indicator monitoring in traditional musculoskeletal rehabilitation methods, and achieves more accurate and efficient posture correction.

CN121096533BActive Publication Date: 2026-02-03THE AFFILIATED HOSPITAL OF SOUTHWEST MEDICAL UNIV
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Patent Information

Application Number
CN202511661201.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-11-13
Publication Date
2026-02-03
Estimated Expiration
2045-11-13

AI Technical Summary

Technical Problem

Traditional musculoskeletal rehabilitation posture correction methods rely on manual observation, which is subjective and inconsistent, making it difficult to fully and accurately capture subtle changes. Existing equipment lacks multi-dimensional analysis, affecting rehabilitation effectiveness and efficiency.

Method used

By collecting posture video data of rehabilitation subjects, analyzing the characteristics of joint movement, muscle contours and body balance, establishing multi-dimensional adaptation relationships, generating hierarchical and phased correction guidance information, and optimizing it in real time through a visual recognition system.

Benefits of technology

It enables multi-dimensional, comprehensive, and accurate assessment of the posture of rehabilitation subjects, improving the accuracy and scientific nature of correction, and enhancing rehabilitation effectiveness and efficiency.

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Abstract

The application provides a vision-identification-based musculoskeletal rehabilitation posture correction method and system. First, posture video data of a rehabilitation subject in a musculoskeletal rehabilitation training is collected, covering the joint movement, muscle contour change and body balance state change process. The posture video data is analyzed to generate joint movement trajectory, muscle force correlation and body balance state characteristics, which are corresponded to a preset musculoskeletal rehabilitation stage target to establish a multi-dimensional adaptation relationship. Hierarchical and staged correction guidance information is generated according to the multi-dimensional adaptation relationship. The joints, muscles and balance adjustment layers are prioritized and specific adjustment methods are provided. New posture video data after adjustment is obtained for repeated operation. The correction guidance information is updated according to the deviation change, precise and dynamic musculoskeletal rehabilitation posture correction is realized, and the rehabilitation effect and efficiency are improved.
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