Transmission of Human Intention by Impulsive Sound

Kazue Nishihara; Noriyuki Kawarazaki; Tadashi Yoshidame

doi:10.20965/jrm.2004.p0039

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JRM Vol.16 No.1 pp. 39-43

doi: 10.20965/jrm.2004.p0039

(2004)

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Transmission of Human Intention by Impulsive Sound

Kazue Nishihara, Noriyuki Kawarazaki, and Tadashi Yoshidame

Kanagawa Institute of Technology, 1030 Shimo-Ogino, Atsugi-Shi 243-0292, Japan

Received:

August 26, 2003

Accepted:

November 18, 2003

Published:

February 20, 2004

Keywords:

wavelet analysis, impulsive sound, tapping, sound icon, human intention

Abstract

We discuss a basic human-machine interface for transmitting human intention to a machine via impulsive sound, using wavelet analysis to determine whether impulsive sound is recognized. We found that tapping transmits indicates human intention to a machine, if we choose an appropriate analysis wavelet and its scaling parameter. We found that Daubechies wavelet function parameters were feasible for our purpose at N=3 (order) and j=8 (scaling parameter). This interface should prove useful for orders in regular work and emergency stoppage.

Cite this article as:

Kazue Nishihara, Noriyuki Kawarazaki, and Tadashi Yoshidame, “Transmission of Human Intention by Impulsive Sound,” J. Robot. Mechatron., Vol.16, No.1, pp. 39-43, 2004.

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References

[1] A. Kobayashi, K. Nishihara, and N. Kawarazaki, “Transmission of Man’s Intention to Machines by Impact Sound,” ICAM ’98 Okayama Univ., 1998.8.
[2] A. Darvshi, et al., “Automatic Impact Sound Generation for Using in Nonvisual Interfaces,” Annual ACM Conf. In Assistive Technologies (1st), p. 100, Los Angeles, 1994.
[3] F. Phan, et al., “Speaker Identification with Wavelet Decomposition and Neural Networks,” Proc. Am. Inst. Conf. IEEE Eng. Med. Soc., vol. 2, p. 1111, 1994.
[4] I. Daubechies, “Ten Lectures on Wavelets,” SIAM, Penn., 1992.
[5] F. Sasaki and T. Maeda, “Study of Fundamental Characteristics of the Wavelet Transform for Data Analysis,” J. Struct. Constr. Eng., AIJ, No. 453, pp. 197-206, Nov. 1993. (in Japanese)
[6] A. Morimoto, “Wavelet, Suri- Kagaku,” No. 354, pp. 36-43, Dec. 1992. (in Japanese)

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

[1] [1] A. Kobayashi, K. Nishihara, and N. Kawarazaki, “Transmission of Man’s Intention to Machines by Impact Sound,” ICAM ’98 Okayama Univ., 1998.8.

[2] [2] A. Darvshi, et al., “Automatic Impact Sound Generation for Using in Nonvisual Interfaces,” Annual ACM Conf. In Assistive Technologies (1st), p. 100, Los Angeles, 1994.

[3] [3] F. Phan, et al., “Speaker Identification with Wavelet Decomposition and Neural Networks,” Proc. Am. Inst. Conf. IEEE Eng. Med. Soc., vol. 2, p. 1111, 1994.

[4] [4] I. Daubechies, “Ten Lectures on Wavelets,” SIAM, Penn., 1992.

[5] [5] F. Sasaki and T. Maeda, “Study of Fundamental Characteristics of the Wavelet Transform for Data Analysis,” J. Struct. Constr. Eng., AIJ, No. 453, pp. 197-206, Nov. 1993. (in Japanese)

[6] [6] A. Morimoto, “Wavelet, Suri- Kagaku,” No. 354, pp. 36-43, Dec. 1992. (in Japanese)