期刊
JOURNAL OF BIONIC ENGINEERING
卷 14, 期 1, 页码 47-59出版社
SPRINGER SINGAPORE PTE LTD
DOI: 10.1016/S1672-6529(16)60377-3
关键词
electromyography; anthropomorphic prosthetic hand; myoelectric control; pattern recognition; prehensile gestures
资金
- National Natural Science Foundation of China [51575187, 91223201]
- Science and Technology Program of Guangzhou [2014Y2-00217]
- Science and Technology Major Project of Huangpu District of Guang-Zhou [20150000661]
- Fundamental Research Funds for the Central University [2015ZZ007]
- Natural Science Foundation of Guangdong Province [S2013030013355]
This paper presents an anthropomorphic prosthetic hand using flexure hinges, which is controlled by the surface electromyography (sEMG) signals from 2 electrodes only. The prosthetic hand has compact structure with 5 fingers and 4 Degree of Freedoms (DoFs) driven by 4 independent actuators. Helical springs are used as elastic joints and the joints of each finger are coupled by tendons. The myoelectric control system which can classify 8 prehensile hand gestures is built. Pattern recognition is employed where Mean Absolute Value (MAV), Variance (VAR), the fourth-order Autoregressive (AR) coefficient and Sample Entropy (SE) are chosen as the optimal feature set and Linear Discriminant Analysis (LDA) is utilized to reduce the dimension. A decision of hand gestures is generated by LDA classifier after the current projected feature set and the previous one are pre-smoothed, and then the final decision is obtained when the current decision and previous decisions are post-smoothed from the decisions flow. The prosthetic hand can perform prehensile postures for activities of daily living and carry objects under the control of EMG signals.
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