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sEMG Based Movement Quantitative Estimation of Joins Using SVM Method
Liu, Dongsheng; Zhao XG(赵新刚); Ye D(叶丹); Zhao YW(赵忆文); Wu ZW(吴镇炜)
作者部门机器人学研究室
会议名称19th World Congress of the International Federation of Automatic Control
会议日期August 24-29, 2014
会议地点Cape Town, South Africa
会议录名称The 19th World Congress of the International Federation of Automatic Control
出版者IFAC
出版地Zürich, Switzerland
2014
页码12311-12316
收录类别EI ; CPCI(ISTP)
EI收录号20152200884862
WOS记录号WOS:000391109500065
产权排序1
ISSN号2405-8963
关键词Semg Movement Estimation Quantitative Estimation Svm Method Rehabilitation Robot
摘要The sEMG based movement recognition developed rapidly in recent years, which focus on intention estimation that velocity and angle of movement joint are not concerned. This paper proposed a quantitative analysis method of sEMG, with ability to estimate motion of human joints, which can be used to control rehabilitation robot system control by patient’s own intention. The quantitative model of the relationship between sEMG signals and movement joint was established utilizing error Back Propagation artificial Neural Network and support vector machine with a Gaussian kernel, where the features of sEMG were taken as input. Considering of the actual demands of rehabilitation, the 1-DOF, 2-DOFs and 3-DOFs movement experiments were supposed to collect the information of joint angle and sEMG signals for model training. The result shows the angle prediction curve outputted by model of SVM has more than 90% consistency with the actual movement, while the model of BPNN gets a more imprecise output with complexity of movement arising. Initial online experiments on rehabilitation robot controlled by a healthy subject demonstrate that sEMG based movement control using the proposed method is 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/173321/15406
专题机器人学研究室
通讯作者Zhao XG(赵新刚)
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
Liu, Dongsheng,Zhao XG,Ye D,et al. sEMG Based Movement Quantitative Estimation of Joins Using SVM Method[C]. Zürich, Switzerland:IFAC,2014:12311-12316.
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