基于肌电信号的人工手部抓握运动

2016 International Conference on Computer and Communication Engineering (ICCCE) Pub Date : 2016-07-01 DOI:10.1109/ICCCE.2016.66

M. Rahman, Muhammad Hadi Mat Rosly

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引用次数: 0

摘要

肌电图(EMG)在肌肉收缩时产生小幅度信号。其肌电反应的意义难以区分，但其控制的可行性已被许多研究证明。本文研究了利用传统的肌电传感器制作基于肌电图的假手的可行性。本文提出的概念采用简单的阈值激活键，而不是进行可能成倍增加肌电假手成本的复杂处理。控制规范的其余部分处理力传感器反馈。通过本研究，证明了利用常规肌电传感器控制人工手执行简单任务是可行的。但是，为了提高系统的可靠性，还需要进一步的研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Gripping Motion of Artificial Hand Using EMG Signal

Electromyogram (EMG) generates small signal amplitude upon muscle contraction. It is difficult to distinguish the significance of its EMG response but yet its control feasibility has been proven by many research. In this paper, the feasibility of EMG based artificial hand utilizing conventional EMG sensor was put into study. Instead of performing complex processing which may exponentially increase the cost of EMG artificial hand, the concept proposed in this paper, utilizes simple threshold activation key. The rest of the control specification is dealt with force sensor feedback. From this study, it is proven that using conventional EMG sensor to control an artificial hand is feasible to perform simple task. However, further study is required to enhance the reliability of the system.

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2016 International Conference on Computer and Communication Engineering (ICCCE)

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