期刊
INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS
卷 8, 期 4, 页码 725-741出版社
WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S0219843611002630
关键词
Surface EMG; empirical copula; template; recognition; hand prosthesis
类别
资金
- EPSRC [EP/G041377/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/G041377/1] Funding Source: researchfish
Current tendency of electromyography (EMG)-based prosthetic hand is to enable the user to perform complex grasps or manipulations with natural muscle movements. In this paper, empirical copula-based templates; including the unified motion template and the state-based motion template, are introduced to identify the naturally contracted surface EMG (sEMG) patterns for hand motion recognition. The unified motion template utilizes a dependence structure as a motion template, which includes one-to-one correlations of the SEMG feature channels with all the sampling points, while the state-based motion template divides the sampling points into different states and takes the union of the dependence structures of the different states. Comparison results have demonstrated that the proposed Empirical Copula-based methods can successfully classify different hand motions from different subjects with better recognition rates than Gaussian mixture models (GMMs). In addition, the state-based motion template has a better performance than the unified motion template especially for the complex hand motions.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据