A real-time EMG pattern recognition method for virtual myoelectric hand control
文献类型：期刊论文
| 作者 | Xing, Kexin1; Yang, Peipei2 ; Huang, Jian3; Wang, Yongji3; Zhu, Quanmin4,5
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| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2014-07-20 |
| 卷号 | 136页码:345-355 |
| 关键词 | EMG Real-time pattern recognition Wavelet packet Non-parametric weighted feature extraction SVM |
| 英文摘要 | This study proposes a real-time electro-myogram (EMG) pattern recognition approach for the control of multifunction myoelectric hands. In techniques, time and frequency information is extracted by wavelet packet transform (WPT) and the node energy of the WPT coefficients is selected as the feature of the EMG signals. Then a novel feature selection method based on a depth recursive search algorithm is developed so that the high-dimensional features can be reduced by a supervised feature reduction algorithm. Consequently, the support vector machine (SVM) is adopted to give the recognition result. In the experiment, a real-time EMG pattern recognition system is developed to control a virtual hand with EMG signals from antebrachium. The experimental results show both the high accuracy and better real-time performance of the proposed method. (C) 2014 Elsevier B.V. All rights reserved. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Computer Science |
| 关键词[WOS] | FEATURE-EXTRACTION ; FEATURE-PROJECTION ; FEATURE REDUCTION ; CLASSIFICATION ; SIGNAL ; REPRESENTATION ; SYSTEM |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000335708800035 |
| 公开日期 | 2015-09-22 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/8017]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 作者单位 | 1.Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310023, Zhejiang, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Ctr Res Intelligent Percept & Comp, Beijing 100190, Peoples R China 3.Huazhong Univ Sci & Technol, Sch Automat, Key Lab Image Proc & Intelligent Control, Wuhan 430074, Peoples R China 4.China Univ Petr, Coll Chem Engn, Dept Chem Ind Equipment & Control Engn, Qingdao 266580, Peoples R China 5.Univ W England, Dept Engn Design & Math, Bristol BS16 1QY, Avon, England |
| 推荐引用方式 GB/T 7714 | Xing, Kexin,Yang, Peipei,Huang, Jian,et al. A real-time EMG pattern recognition method for virtual myoelectric hand control[J]. NEUROCOMPUTING,2014,136:345-355. |
| APA | Xing, Kexin,Yang, Peipei,Huang, Jian,Wang, Yongji,&Zhu, Quanmin.(2014).A real-time EMG pattern recognition method for virtual myoelectric hand control.NEUROCOMPUTING,136,345-355. |
| MLA | Xing, Kexin,et al."A real-time EMG pattern recognition method for virtual myoelectric hand control".NEUROCOMPUTING 136(2014):345-355. |
入库方式： OAI收割
来源：自动化研究所
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