An user-independent gesture recognition method based on sEMG decomposition
文献类型：会议论文
| 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)
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| 出版日期 | 2015 |
| 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 |
| 页码 | 4185-4190 |
| 中文摘要 | 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%. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISBN号 | 978-1-4799-9994-1 |
| WOS记录号 | WOS:000371885404055 |
| 源URL | [http://ir.sia.cn/handle/173321/17458]  |
| 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 | 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. |
入库方式： OAI收割
来源：沈阳自动化研究所
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