Method for identifying motion state of artificial limb wearer
By combining wavelet transform and the K-nearest neighbor algorithm, the problems of low recognition rate and poor real-time performance in traditional prosthetic wearer motion state recognition methods are solved, achieving higher recognition accuracy and faster response speed.
CN121845561APending Publication Date: 2026-04-14BEIJING XINGJIAN CHANGKONG MEASUREMENT CONTROL TECH
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Patent Information
- Application Number
- CN202411419332.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-12
- Publication Date
- 2026-04-14
AI Technical Summary
Technical Problem
Traditional methods for recognizing the movement status of prostheses suffer from low recognition rates and poor real-time performance.
Method used
The initial signal is preprocessed using wavelet transform, feature values are extracted using wavelet packets, and motion state is classified and identified using the K nearest neighbor algorithm.
Benefits of technology
It improves the recognition rate and real-time performance of motion states, achieving higher recognition accuracy and faster response speed.
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Abstract
The invention discloses a method for identifying the motion state of an artificial limb wearer. The method comprises the following steps: 1, acquiring a signal; 2, preprocessing the initial signal based on wavelet transform; 3, extracting characteristic values of the signals based on wavelet packets; and 4, classifying and identifying the motion state based on a K-nearest neighbor algorithm. According to the invention, automatic identification of the motion state of the artificial limb wearer is realized, and the identification rate and real-time performance of motion state identification of the artificial limb wearer are effectively improved.
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