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题名: SEMG based movement quantitative estimation of joins using SVM method with gravitational search algorithm
作者: 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: Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
会议录出版者: IEEE
会议录出版地: Piscataway, NJ, USA
出版日期: 2015
页码: 4403-4407
收录类别: EI ; CPCI(ISTP)
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
产权排序: 1
WOS记录号: WOS:000375232905146
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/17198
Appears in Collections:机器人学研究室_会议论文

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Recommended Citation:
Zhao XG,Liu, Dongsheng,Ye D. SEMG based movement quantitative estimation of joins using SVM method with gravitational search algorithm[C]. 见:27th Chinese Control and Decision Conference, CCDC 2015. Qingdao, China. May 23-25, 2015.
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