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
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.
-  A. Kobayashi, K. Nishihara, and N. Kawarazaki, “Transmission of Man’s Intention to Machines by Impact Sound,” ICAM ’98 Okayama Univ., 1998.8.
-  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.
-  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.
-  I. Daubechies, “Ten Lectures on Wavelets,” SIAM, Penn., 1992.
-  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)
-  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.
Copyright© 2004 by Fuji Technology Press Ltd. and Japan Society of Mechanical Engineers. All right reserved.