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JRM Vol.16 No.1 pp. 39-43
doi: 10.20965/jrm.2004.p0039
(2004)

Paper:

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.
Data files:
References
  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)

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