中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
sEMG Based Movement Quantitative Estimation of Joins Using SVM Method

文献类型:会议论文

作者Liu, Dongsheng; Zhao XG(赵新刚); Ye D(叶丹); Zhao YW(赵忆文); Wu ZW(吴镇炜)
出版日期2014
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
关键词sEMG movement estimation quantitative estimation SVM method rehabilitation robot
页码12311-12316
通讯作者赵新刚
中文摘要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.
收录类别EI ; CPCI(ISTP)
产权排序1
会议录The 19th World Congress of the International Federation of Automatic Control
会议录出版者IFAC
会议录出版地Zürich, Switzerland
语种英语
ISSN号2405-8963
WOS记录号WOS:000391109500065
源URL[http://ir.sia.cn/handle/173321/15406]  
专题沈阳自动化研究所_机器人学研究室
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]. 见:19th World Congress of the International Federation of Automatic Control. Cape Town, South Africa. August 24-29, 2014.

入库方式: OAI收割

来源:沈阳自动化研究所

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