机器人2015，Vol.37Issue(6)：732-737,747,7.DOI:10.13973/j.cnki.robot.2015.0732
假肢跌倒预警中基于相关性分析的模糊自适应反馈调节
Fuzzy Adaptive Feedback Regulation for Stumble Pre-warning of Lower Limb Prosthesis Based on the Correlation Analysis
摘要
Abstract
Prosthesis users are easier to fall down at the early stage. In order to solve this problem, a stumble pre-warning method based on the correlation analysis with fuzzy adaptive feedback regulation is proposed. Support vector machine (SVM) regression method is applied to improving correlation analysis template of different subjects, and the predictive value of two sensors are fused to distinguish stumble. For different patients, the body reaction is different in the case of stumble. A combined forecast algorithm based on fuzzy adaptive variable weight with feedback regulation unit is applied to parameter optimization for the weights of different patients, and the flexibility of stumble pre-warning system for lower limb prosthesis is improved. Finally, the feasibility of the proposed method is demonstrated through analyzing the data collected from several subjects. The experimental results show that the pre-warning correct rate is 95%. The system can be applied to rehabilitation training of patients in the early stage, so as to improve the safety of prosthesis.关键词
模糊自适应/跌倒预警/相关性分析/支持向量机/反馈调节Key words
fuzzy adaptive/stumble pre-warning/correlation analysis/support vector machine/feedback regulation分类
信息技术与安全科学引用本文复制引用
陈国兴,耿艳利,刘作军,杨鹏..假肢跌倒预警中基于相关性分析的模糊自适应反馈调节[J].机器人,2015,37(6):732-737,747,7.基金项目
国家自然科学基金资助项目(61174009,61203323). （61174009,61203323）
