A Wearable Pointing Device Using EMG  Signals

Hirotaka Ogino; Jun Arita; Toshio Tsuji

doi:10.20965/jrm.2005.p0173

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JRM Vol.17 No.2 pp. 173-180

doi: 10.20965/jrm.2005.p0173

(2005)

Paper:

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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:

H. Ogino, J. Arita, and T. Tsuji, “A Wearable Pointing Device Using EMG Signals,” J. Robot. Mechatron., Vol.17, No.2, pp. 173-180, 2005.

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References

[1] S. Mann, “Wearable Computing: A First Step Toward Personal Imaging,” IEEE Computer, Vol.30, No.2, pp. 25-32, 1997.
[2] T. Inoue, N. Kamijo, and K. Tamagawa, “Present State and Future Prospect of Wearable Computers,” Journal of the Robotics Society of Japan, Vol.20, No.8, pp. 791-795, 2002 (in Japanese).
[3] R. Rosenberg, “The Biofeedback Pointer: EMG Control of a Two Dimensional Pointer,” Proceedings of the 2nd International Symposium on Wearable Computers, pp. 162-163, 1998.
[4] A. B. Barreto, S. D. Scargle, and M. Adjouadi, “A Practical EMGbased Human-computer Interface for Users with Motor Disabilities,” Journal of Rehabilitation Research and Development, Vol.37, No.1, pp. 55-63, 2000.
[5] T. Tsuji, O. Fukuda, M. Murakami, and M. Kaneko, “An EMG Controlled Pointing Device Using a Neural Network,” Trans. of the Society of Instrument and Control Engineers, Vol.37, No.5, pp. 425-431, 2004 (in Japanese).
[6] T. Tsuji, H. Ichinobu, and M. Kaneko, “A Proposal of the Feedforward Neural Network Based on the Gaussian Mixture Model and the Log-Linear Model,” Trans. Institute of Electronics, Information and Communication Engineers, D-II, Vol.J77, No.10, pp. 2093-2100, 1994 (in Japanese).
[7] O. Fukuda, J. Arita, and T. Tsuji, “An EMG-Controlled Omnidirectional Pointing Device,” Trans. Institute of Electronics, Information and Communication Engineers, D-II, Vol.J87, No.10, pp. 1996-2003, 2004 (in Japanese).
[8] O. Fukuda, T. Tsuji, and M. Kaneko, “An EMG Controlled Robotic Manipulator Using Neural Networks,” Proceedings of IEEE InternationalWorkshop on Robot and Human Communication, pp. 442-447, 1997.
[9] M. Zak, “Terminal Attractors for Addressable Memory in Neural Network,” Physics Letters A, Vol.133, pp. 18-22, 1998.
[10] O. Fukuda, T. Tsuji, and M. Kaneko, “A Human Supporting Manipulator Based on Manual Control Using EMG Signals,” Journal of the Robotics Society of Japan, Vol.18, No.3, pp. 387-394, 2000 (in Japanese).

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1] S. Mann, “Wearable Computing: A First Step Toward Personal Imaging,” IEEE Computer, Vol.30, No.2, pp. 25-32, 1997.

[2] [2] T. Inoue, N. Kamijo, and K. Tamagawa, “Present State and Future Prospect of Wearable Computers,” Journal of the Robotics Society of Japan, Vol.20, No.8, pp. 791-795, 2002 (in Japanese).

[3] [3] R. Rosenberg, “The Biofeedback Pointer: EMG Control of a Two Dimensional Pointer,” Proceedings of the 2nd International Symposium on Wearable Computers, pp. 162-163, 1998.

[4] [4] A. B. Barreto, S. D. Scargle, and M. Adjouadi, “A Practical EMGbased Human-computer Interface for Users with Motor Disabilities,” Journal of Rehabilitation Research and Development, Vol.37, No.1, pp. 55-63, 2000.

[5] [5] T. Tsuji, O. Fukuda, M. Murakami, and M. Kaneko, “An EMG Controlled Pointing Device Using a Neural Network,” Trans. of the Society of Instrument and Control Engineers, Vol.37, No.5, pp. 425-431, 2004 (in Japanese).

[6] [6] T. Tsuji, H. Ichinobu, and M. Kaneko, “A Proposal of the Feedforward Neural Network Based on the Gaussian Mixture Model and the Log-Linear Model,” Trans. Institute of Electronics, Information and Communication Engineers, D-II, Vol.J77, No.10, pp. 2093-2100, 1994 (in Japanese).

[7] [7] O. Fukuda, J. Arita, and T. Tsuji, “An EMG-Controlled Omnidirectional Pointing Device,” Trans. Institute of Electronics, Information and Communication Engineers, D-II, Vol.J87, No.10, pp. 1996-2003, 2004 (in Japanese).

[8] [8] O. Fukuda, T. Tsuji, and M. Kaneko, “An EMG Controlled Robotic Manipulator Using Neural Networks,” Proceedings of IEEE InternationalWorkshop on Robot and Human Communication, pp. 442-447, 1997.

[9] [9] M. Zak, “Terminal Attractors for Addressable Memory in Neural Network,” Physics Letters A, Vol.133, pp. 18-22, 1998.

[10] [10] O. Fukuda, T. Tsuji, and M. Kaneko, “A Human Supporting Manipulator Based on Manual Control Using EMG Signals,” Journal of the Robotics Society of Japan, Vol.18, No.3, pp. 387-394, 2000 (in Japanese).