EMG-based hands-free wheelchair control with EOG attention shift detection

被引：0

作者：

Tsui, Chun Sing Louis ^{[1
]}

Jia, Pei ^{[1
]}

Gan, John Q. ^{[1
]}

Hu, Huosheng ^{[1
]}

Yuan, Kui ^{[2
]}

机构：

[1] Univ Essex, Dept Comp & Elect Syst, Colchester CO4 3SQ, Essex, England

[2] Chinese Acad Sci, Inst Automat, Beijing, Peoples R China

来源：

2007 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, VOLS 1-5 | 2007年

关键词：

EMG; EOG; intelligent wheelchair; handsfree control;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a novel hands-free control system for an electric-powered wheelchair, which is based on EMG (Electromyography) signals recorded from eyebrow muscle activity. By using a simple CyberLink [1] device, one-dimensional continuous EMG signals are obtained, analysed, and then translated into multi-directional control commands (forward, left, right, etc.) for the wheelchair that supports multi-directional control. At the same time, EOG (Electrooculography) signals detected from eye movements are used to adjust wheelchair speed. The system also allows a user to choose either control state or non-control state so that any non-intended muscle activity can be ignored during the non-control state. The system is reliable, easy to set up, and easy to use.

引用

页码：1266 / +

页数：3

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