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JRM Vol.17 No.2 pp. 173-180
doi: 10.20965/jrm.2005.p0173
(2005)

Paper:

A Wearable Pointing Device Using EMG Signals

Hirotaka Ogino, Jun Arita, and Toshio Tsuji

Department of Artificial Complex Systems Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima 739-8527, Japan

Received:
October 17, 2004
Accepted:
January 6, 2005
Published:
April 20, 2005
Keywords:
pointing device, EMG signal, wearable computer, neural network
Abstract

We propose a wearable pointing device using EMG signals. By using neural networks, the system adapts to variations in EMG signals caused by individual differences of muscular features and minor shifts in electrode sites. Experimental results show that the system, which frees the operator from having to be in front of a computer, is effective as a pointing device for a wearable computer.

Cite this article as:
Hirotaka Ogino, Jun Arita, and Toshio Tsuji, “A Wearable Pointing Device Using EMG Signals,” J. Robot. Mechatron., Vol.17, No.2, pp. 173-180, 2005.
Data files:
References
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