File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

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

Author(s)
Kim, JSJang, WBien, Zeungnam
Issued Date
1996-04
DOI
10.1109/3477.485888
URI
https://scholarworks.unist.ac.kr/handle/201301/9174
Fulltext
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=0030126359
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.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
ISSN
1083-4419

qrcode

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.