计算机工程与应用2011，Vol.47Issue(21)：166-169,4.DOI:10.3778/j.issn.1002-8331.2011.21.043
基于肌电信号的手部动作模式识别新思路
New thought in hand gestures recognition based on sEMG
摘要
Abstract
For better recognizing hand gestures,this paper reports a new thought that has taken the single finger's condition as recognizing target set.Six groups' sEMG of commonly used hand gestures are gathered,which are planned reasonably taking the single finger's condition as datum.Each channel's sample means are used to constitute feature eigenvector.Three parallel BP neural networks are designed,which can study the single finger's condition from the hand gesture sample.The method makes the classified cardinal number to be small,thus reduces the complexity of classified order,and overcomes the shortcomings , which need to gather the movement many enough in the traditional multi-taxonomic approach.The experimental result indicates that: the sEMG of 12 kinds of hand movements are gathered; the hand movement is simplified reasonably to the finger movement,and the neural network is trained using finger's condition.All composite movements of finger's three conditions can be distinguished,that is to say,all commonly used 18 kinds of hand gestures have been classified.关键词
表面肌电信号(sEMG)/模式识别/误差反向传播(BP)神经网络Key words
surface Electromyograms(sEMG)/pattern recognition/Back Propagation (BP) neural network分类
计算机与自动化引用本文复制引用
王焕灵,尤波,黄玲,杨大鹏..基于肌电信号的手部动作模式识别新思路[J].计算机工程与应用,2011,47(21):166-169,4.基金项目
“863”重大项目子课题 （）
哈尔滨市科技创新人才基金(No.2009RFQGG207) （No.2009RFQGG207）
黑龙江省教育厅研究生创新科研基金(No.YJSCX2009-059HLJ). （No.YJSCX2009-059HLJ）
