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题名: An user-independent gesture recognition method based on sEMG decomposition
作者: 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: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
会议录出版者: IEEE
会议录出版地: Piscataway, NJ, USA
出版日期: 2015
页码: 4185-4190
收录类别: EI ; CPCI(ISTP)
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
产权排序: 1
WOS记录号: WOS:000371885404055
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/17458
Appears in Collections:机器人学研究室_会议论文

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Recommended Citation:
Xiong AB,Zhao XG,Han JD,et al. An user-independent gesture recognition method based on sEMG decomposition[C]. 见:2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Hamburg, Germany. September 28 - October 2, 2015.
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