Virtual Environment Interfacing based on State Automata and Elementary Classifiers


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 4, No. 12, pp. 3033-3044, Dec. 1997
10.3745/KIPSTE.1997.4.12.3033,   PDF Download:

Abstract

This paper presents a system which recognizes dynamic hand gesture for virtual reality(VR). A dynamic hand gesture is a method of communication for human and computer who used gestures, especially both hands and fingers. Since the human hands and fingers are not the same in physical dimension, the same form of a gesture produced by two persons with their hands may not have the same numerical values where obtained through electronic sensors. To recognize meaningful gesture from continuous gestures which have no token of beginning and end, this system segments current motion states using the state automata. In this paper, we apply a fuzzy min-max neural network and feature analysis method using fuzzy logic for on-line pattern recognition.


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Cite this article
[IEEE Style]
K. J. Sung, L. C. Su, S. K. Joon, M. B. Eui, P. C. Hang, "Virtual Environment Interfacing based on State Automata and Elementary Classifiers," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 4, no. 12, pp. 3033-3044, 1997. DOI: 10.3745/KIPSTE.1997.4.12.3033.

[ACM Style]
Kim Jong Sung, Lee Chan Su, Song Kyung Joon, Min Byung Eui, and Park Chee Hang. 1997. Virtual Environment Interfacing based on State Automata and Elementary Classifiers. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 4, 12, (1997), 3033-3044. DOI: 10.3745/KIPSTE.1997.4.12.3033.