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	A hybrid AB-RBF classifier for surface electromyography classification
	Wang, Rencheng ; Yang, Yiyong ; Hu, Xiao ; Wu, Fangfang ; Jin, Dewen ; Jia, Xiaohong ; Li, Fang ; Zhang, Jichuan
	2010-05-10 ; 2010-05-10
会议名称	Digital Human Modeling ; 1st International Conference on Digital Human Modeling held at the HCI International 2007 ; Beijing, PEOPLES R CHINA ; Web of Science
关键词	attribute bagging algorithm RBFN sEMG prosthesis control Computer Science, Theory & Methods
中文摘要	In this paper, we aim to classify surface electromyography (sEMG) by using Attribute Bagging-Radial Basis Function (AB-RBF) hybrid classifier. Eight normally-limbed individuals were recruited to participate in the experiments. Each subject was instructed to perform six kinds of finger movements and each movement was repeated 50 times. Features were extracted using wavelet transform and used to train the RBF classifier and the AB-RBF hybrid classifier. The experiment results showed that AB-RBF hybrid classifier achieved higher discrimination accuracy and stability than single RBF classifier. It proves that integrating classifiers using random feature subsets is an effective method to improve the performance of the pattern recognition system.
会议录出版者	SPRINGER-VERLAG BERLIN ; BERLIN ; HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/19215]
专题	清华大学
推荐引用方式 GB/T 7714	Wang, Rencheng,Yang, Yiyong,Hu, Xiao,et al. A hybrid AB-RBF classifier for surface electromyography classification[C]. 见:Digital Human Modeling, 1st International Conference on Digital Human Modeling held at the HCI International 2007, Beijing, PEOPLES R CHINA, Web of Science.

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