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Alternative TitleHand action identification method based on surface electromyography decomposition
韩建达; 赵新刚; 熊安斌; 丁其川; 赵忆文
Rights Holder中国科学院沈阳自动化研究所
Patent Agent沈阳科苑专利商标代理有限公司 21002
Other AbstractThe invention relates to a hand action identification method based on surface electromyography (sEMG) decomposition. The method comprises the following two parts including sEMG decomposition and a hand action identification method based on MUAPT (motor unit action potential train), wherein the sEMG decomposition is carried out to obtain the MUAPT and consists of sEMG signal preprocessing, sEMG peak detection and Gaussian mixture model (GMM) clustering; and the hand action identification based on the MUAPT comprises characteristic extraction, principal component analysis (PCA) dimensionality reduction, LDA (Linear Discriminant Analysis) classification and the like. Under a condition that only one channel sEMG is used, motor unit action potential information obtained by the sEMG signal decomposition is used for identifying hand action, an identification rate of single-channel sEMG is effectively improved, and the hand action identification method has important theoretical significance and practical application value.
PCT Attributes
Application Date2014-03-06
Date Available2018-01-02
Application NumberCN201410081238.1
Open (Notice) NumberCN104899594A
Contribution Rank1
Document Type专利
Recommended Citation
GB/T 7714
韩建达,赵新刚,熊安斌,等. 基于表面肌电信号分解的手部动作识别方法[P]. 2015-09-09.
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