The principal component analysis in human multi-channel semg recognition

摘要：

This paper used the principal component analysis method to extract emg signals pretreatmenuThe action of information to the models of various forms of mapping to load the composition,the principal components as the load classify input linear neural network for identification and classification.Experimental results show that the PCA method is an effective muscle signal feature extraction method.

关键词： human multi-channel semg principal component analysis artificial neural network

作者: Changming Dai Chunmei Du Mingzhan zhao

作者单位: Hebei institute of Architecture Civil Engineering zhang jia kou,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 285-287

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）