Virtual Control of Prosthetic Hand Based on Grasping Patterns and Estimated Force from Semg

被引：2

作者：

Zhu, Gao-Ke ^{[1
]}

Xu, Li-Sha ^{[1
]}

Zhang, Yi ^{[1
]}

Deng, Hua ^{[1
]}

机构：

[1] Cent South Univ, Sch Mech & Elect Engn, Changsha 410083, Peoples R China

来源：

3RD ANNUAL INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND APPLICATIONS (ITA 2016) | 2016年 / 7卷

关键词：

D O I：

10.1051/itmconf/20160709017

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Myoelectric prosthetic hands aim to serve upper limb amputees. The myoelectric control of the hand grasp action is a kind of real-time or online method. Thus it is of great necessity to carry on a study of online prosthetic hand electrical control. In this paper, the strategy of simultaneous EMG decoding of grasping patterns and grasping force was realized by controlling a virtual multi-degree-freedom prosthetic hand and a real one-degree-freedom prosthetic hand simultaneously. The former realized the grasping patterns from the recognition of the sEMG pattern. The other implemented the grasping force from sEMG force decoding. The results show that the control method is effective and feasible.

引用

页数：6

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