A real-time EMG pattern recognition method for virtual myoelectric hand control

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	A real-time EMG pattern recognition method for virtual myoelectric hand control
	Xing, Kexin 1; Yang, Peipei2 ; Huang, Jian3 ; Wang, Yongji 3; Zhu, Quanmin 4,5
发表期刊	NEUROCOMPUTING
	2014-07-20
卷号	136 期号:1 页码:345-355
文章类型	Article
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.
关键词	Emg Real-time Pattern Recognition Wavelet Packet Non-parametric Weighted Feature Extraction Svm
WOS标题词	Science & Technology ; Technology
关键词[WOS]	FEATURE-EXTRACTION ; FEATURE-PROJECTION ; FEATURE REDUCTION ; CLASSIFICATION ; SIGNAL ; REPRESENTATION ; SYSTEM
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000335708800035
引用统计	被引频次：82[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/8017
专题	智能感知与计算研究中心
通讯作者	Yang, Peipei
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
通讯作者单位	模式识别国家重点实验室
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(1):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(1),345-355.
MLA	Xing, Kexin,et al."A real-time EMG pattern recognition method for virtual myoelectric hand control".NEUROCOMPUTING 136.1(2014):345-355.

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