Classification of Gesture based on sEMG Decomposition: A Preliminary Study

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	Classification of Gesture based on sEMG Decomposition: A Preliminary Study
	Xiong AB(熊安斌); Zhang DH(张道辉); Zhao XG(赵新刚); Han JD(韩建达); Liu GJ(刘光军)
	2014
会议名称	19th World Congress of the International Federation of Automatic Control
会议日期	August 24-29, 2014
会议地点	Cape Town, South Africa
关键词	sEMG Pattern recognition sEMG decomposition Gaussian Mixture Model Linear Discriminate Analysis
页码	2969-2974
通讯作者	熊安斌
中文摘要	Multi-channel surface electromyography (sEMG) recognition has been investigated extensively by researchers over the past several decades. However, due to the nature of sEMG sensors, the more sensors are used, the greater chance for the sEMG to be influenced by environment noise. Furthermore, it is not feasible to use multi-sensors in some cases because of the bulky size of the sensors and the limited area of muscles. This paper proposes a novel sEMG recognition method based on the decomposition of single-channel sEMG. At first, sEMG is acquired while the participant does 5 predetermined hand gestures. Then, this signal is decomposed into its component motor unit potential trains (MUAPTs), which includes 4 steps: 2-order differential filtering, spikes detection, dimension reduction and clustering with Gaussian Mixture Model (GMM). Finally, 5 MUAPTs are obtained and used for hand gestures classification: four features, integral of absolute value (IAV), maximum value (MAX), median value of non-zero value (NonZeroMed) and index of NonZeroMed (Ind) are extracted to form feature matrix, which is then classified with the algorithm of Linear Discriminate Analysis (LDA). The classification results indicate this method can achieve an accuracy of 74.7% while the accuracy of traditional classification method for single-channel sEMG is about 52.6%.
收录类别	EI ; CPCI（ISTP）
产权排序	1
会议录	The 19th World Congress of the International Federation of Automatic Control
会议录出版者	IFAC
会议录出版地	Zürich, Switzerland
语种	英语
WOS记录号	WOS:000391107100480
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/15403]
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,Zhang DH,Zhao XG,et al. Classification of Gesture based on sEMG Decomposition: A Preliminary Study[C]. 见:19th World Congress of the International Federation of Automatic Control. Cape Town, South Africa. August 24-29, 2014.