一种运动评估方法、系统、装置以及计算机可读存储介质
By integrating a nine-axis motion posture sensor into elastic sportswear and combining decomposed and continuous mode data evaluation methods, the problem of quantitative evaluation of rehabilitation training effects has been solved, enabling detailed and quantitative tracking of rehabilitation effects and fall prediction, thus improving the scientific nature and safety of rehabilitation training.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN POLYTECHNIC
- Filing Date
- 2021-01-04
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, the assessment of rehabilitation effects before and after rehabilitation training mainly relies on qualitative observation by the naked eye, which cannot achieve quantitative assessment. It is greatly affected by external factors, cannot be processed by big data and information mining, and cannot achieve detailed, quantitative and long-term tracking of rehabilitation effects.
By constructing a motion assessment method, posture data is collected using nine-axis motion posture sensors distributed on elastic sportswear. Combining decomposed and continuous modes, the method evaluates the posture data within a maintenance time period or unit time window with standard data, thereby achieving quantitative analysis of the rehabilitation training effect. The data is then processed into big data by a server.
It enables quantitative assessment of rehabilitation training effects, refines and quantifies the health status of different parts of the body, provides tracking records of rehabilitation effects, and can predict fall risks, promptly reminding patients to avoid accidents.
Smart Images
Figure QLYQS_1 
Figure QLYQS_27 
Figure QLYQS_56