A DYNAMIC GESTURE RECOGNITION SYSTEM FOR THE KOREAN SIGN LANGUAGE (KSL)

The sign language is a method of communication for the deaf-mute. Arti culated gestures and postures of hands and fingers are commonly used f or the sign language. This paper presents a system which recognizes th e Korean Sign Language (KSL) and translates into a normal Korean text, A pair of Data-Gloves are used as the sensing device for detecting mo tions of hands and fingers. For efficient recognition of gestures and postures, a technique of efficient classification of motions is propos ed and a fuzzy min-max neural network [4] is adopted for on-line patte rn recognition.