Prediction of Human Elbow Torque from EMG Using SVM Based on AWR Information Acquisition Platform

摘要：

In this paper a novel prediction method of elbow torque from EMG signal using SVM is proposed. How to model the relations between EMG signals and various kinematical aspects of the movement behavior is a difficult problem in the researches of neurophysiology and biomechanics. Traditional prediction methods include using neural networks to model the relations. However, these methods suffer from several problems, such as local minima, the difficulty of the selection of the model, etc. To address these problems, support vector machine is adopted to construct the nonlinear model. The efficiency of our proposed method is proved by experiment results.

关键词： Support Vector Machine EMG Information Acquisition joint Torque

作者: Quanjun Song Bingyu Sun Jianhe Lei Zhen Gao Yong Yu Ming Liu Yunjian Ge

作者单位: Institute of Intelligent Machine Chinese Academy of Science Hefei, Anhui Province, China;Department Institute of Intelligent Machine Chinese Academy of Science Hefei, Anhui Province, China Dept of Elec. & Computer Systems Eng. Monash University Melbourne, VIC 3800, Australia

会议类型: 国际会议

会议名称: 2006 IEEE International Conference on Information Acquisition

会议地点: 山东威海

会议语种:英文

页码: 1274-1278

在线出版日期: 2006-08-20（万方平台首次上网日期，不代表论文的发表时间）