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Bien, Zeungnam
Intelligent Robot Control System Lab
Research Interests
  • Intelligent Control
  • Learning System Methodologies
  • Assistive Robotics
  • Smart Home System

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

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Title
A dynamic gesture recognition system for the Korean sign language (KSL)
Author
Kim, JSJang, WBien, Zeungnam
Keywords
FUZZY-LOGIC; INFERENCE
Issue Date
1996-04
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, v.26, no.2, pp.354 - 359
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 [4] is adopted for on-line pattern recognition.
URI
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DOI
10.1109/3477.485888
ISSN
1083-4419
Appears in Collections:
EE_Journal Papers
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