On-line dynamic hand gesture recognition system for the korean sign language (KSL)

한글 수화용 동적 손 제스처의 실시간 인식 시스템의 구현에 관한 연구

  • 김종성 (한국전자통신연구원) ;
  • 이찬수 (한국과학기술원 전기 및 전자공학과) ;
  • 장원 (한국과학기술연구원) ;
  • 변증남 (한국과학기술원 전기 및 전자공학과)
  • Published : 1997.02.01

Abstract

Human-hand gestures have been used a means of communication among people for a long time, being interpreted as streams of tokens for a language. The signed language is a method of communication for hearing impaired person. Articulated gestures and postures of hands and fingers are commonly used for the signed language. This paper presents a system which recognizes the korean sign language (KSL) and translates the recognition results into a normal korean text and sound. A pair of data-gloves are used a sthe sensing device for detecting motions of hands and fingers. In this paper, we propose a dynamic gesture recognition mehtod by employing a fuzzy feature analysis method for efficient classification of hand motions, and applying a fuzzy min-max neural network to on-line pattern recognition.

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