A dynamic gesture recognition system for the Korean sign language (KSL)

  • Authors:
  • Jong-Sung Kim;Won Jang;Zeungnam Bien

  • Affiliations:
  • Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon;-;-

  • Venue:
  • IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
  • Year:
  • 1996

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Abstract

The sign language is a method of communication for the deaf-mute. Articulated gestures and postures of hands and fingers are commonly used for the sign language. This paper presents a system which recognizes the Korean sign language (KSL) and translates into a normal Korean text. A pair of data-gloves are used as the sensing device for detecting motions of hands and fingers. For efficient recognition of gestures and postures, a technique of efficient classification of motions is proposed and a fuzzy min-max neural network is adopted for on-line pattern recognition