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SEMG based movement quantitative estimation of joins using SVM method with gravitational search algorithm
Zhao XG(赵新刚); Liu, Dongsheng; Ye D(叶丹)
作者部门机器人学研究室
会议名称27th Chinese Control and Decision Conference, CCDC 2015
会议日期May 23-25, 2015
会议地点Qingdao, China
会议录名称Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
出版者IEEE
出版地Piscataway, NJ, USA
2015
页码4403-4407
收录类别EI ; CPCI(ISTP)
EI收录号20154401482206
WOS记录号WOS:000375232905146
产权排序1
ISBN号978-1-4799-7016-2
关键词Semg Motion Estimation Svm Gravitational Search Algorithm Rehabilitation Robot
摘要Recently the surface electromyogram signal (sEMG) based motion estimation developed rapidly, which focus on intention recognition but the other information of motion is not concerned. This paper proposed a sEMG based quantitative analysis method to estimate movement of human joints, which was used to control the upper limb rehabilitation robot system by participant's own arm. The quantitative model was established utilizing support vector machine (SVM). In order to improve the fitting accuracy and generalization ability of the support vector machine model, an algorithm for the SVM parameter optimization was proposed based on the gravitational search algorithm. The simulated experiments show that the SVM regression model based on the gravitational search algorithm has a high accuracy and strong generalization ability. Initial online experiments on rehabilitation robot controlled by a healthy participant demonstrated that the sEMG based control method using the proposed method was feasible.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/17198
专题机器人学研究室
作者单位1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.College of Information Science and Engineering, Northeastern University, Shenyang, China
推荐引用方式
GB/T 7714
Zhao XG,Liu, Dongsheng,Ye D. SEMG based movement quantitative estimation of joins using SVM method with gravitational search algorithm[C]. Piscataway, NJ, USA:IEEE,2015:4403-4407.
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