Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)
- 1995.10b
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- Pages.85-91
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- 1995
On-line Korean Sing Language(KSL) Recognition using Fuzzy Min-Max Neural Network and feature Analysis
- zeungnam Bien (Dept. of Elec. eng., KAIST 373-1 Gusung-dong Yusung-gu, Taejon) ;
- Kim, Jong-Sung (Dept. of Elec. eng., KAIST 373-1 Gusung-dong Yusung-gu, Taejon)
- Published : 1995.10.01
Abstract
This paper presents a system which recognizes the Korean Sign Language(KSL) and translates into normal Korean speech. A sign language is a method of communication for the deaf-mute who uses 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 signers with their hands may not produce the same numerical values when obtained through electronic sensors. In this paper, we propose a dynamic gesture recognition method based on feature analysis for efficient classification of hand motions, and on a fuzzy min-max neural network for on-line pattern recognition.
Keywords