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| DC Field | Value | Language |
|---|---|---|
| dc.citation.endPage | 359 | - |
| dc.citation.number | 2 | - |
| dc.citation.startPage | 354 | - |
| dc.citation.title | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | - |
| dc.citation.volume | 26 | - |
| dc.contributor.author | Kim, JS | - |
| dc.contributor.author | Jang, W | - |
| dc.contributor.author | Bien, Zeungnam | - |
| dc.date.accessioned | 2023-12-22T12:39:47Z | - |
| dc.date.available | 2023-12-22T12:39:47Z | - |
| dc.date.created | 2014-11-21 | - |
| dc.date.issued | 1996-04 | - |
| dc.description.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. | - |
| dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, v.26, no.2, pp.354 - 359 | - |
| dc.identifier.doi | 10.1109/3477.485888 | - |
| dc.identifier.issn | 1083-4419 | - |
| dc.identifier.scopusid | 2-s2.0-0030126359 | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/9174 | - |
| dc.identifier.url | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=0030126359 | - |
| dc.identifier.wosid | A1996UD02400016 | - |
| dc.language | 영어 | - |
| dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
| dc.title | A dynamic gesture recognition system for the Korean sign language (KSL) | - |
| dc.type | Article | - |
| dc.description.journalRegisteredClass | scopus | - |
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