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An user-independent gesture recognition method based on sEMG decomposition
Xiong AB(熊安斌); Zhao XG(赵新刚); Han JD(韩建达); Liu GJ(刘光军); Ding QC(丁其川)
作者部门机器人学研究室
会议名称2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
会议日期September 28 - October 2, 2015
会议地点Hamburg, Germany
会议录名称2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
出版者IEEE
出版地Piscataway, NJ, USA
2015
页码4185-4190
收录类别EI ; CPCI(ISTP)
EI收录号20160801971417
WOS记录号WOS:000371885404055
产权排序1
ISBN号978-1-4799-9994-1
摘要sEMG recognition has been used extensively in prosthetic device control, human-assisting manipulators and sign language recognition, etc. However, the sEMG recognition model, trained with one subject's sEMG data, is not applicable to the other subjects, which hinders the practical application of myoelectric interfaces immensely. In this paper, a sEMG recognition method which is applicable to multi-users is proposed. Firstly, single channel sEMG is decomposed into 30 MUAPTs, which includes four steps: two-order differential filter, threshold calculation, spike detection and hierarchical clustering. Secondly, the MUAPTs are updated with the templates orthogonalization; and Deep Boltzman Machine is employed to classify the MUAPTs into five classes corresponding to the predefined five gestures. Six participants participated in this experiment to validate the effectiveness of the proposed method. Results indicated that this method can achieve a mean accuracy of 81.5%.
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/173321/17458
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, University of Chinese Academy of Sciences, China
2.Department of Aerospace Engineering, Ryerson University, Toronto, Canada
推荐引用方式
GB/T 7714
Xiong AB,Zhao XG,Han JD,et al. An user-independent gesture recognition method based on sEMG decomposition[C]. Piscataway, NJ, USA:IEEE,2015:4185-4190.
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