There are no files associated with this item.
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.citation.endPage | 65 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 47 | - |
dc.citation.title | INTERNARIONAL JOURNAL OF FUZZY SYSTEM APPLICATIONS | - |
dc.citation.volume | 1 | - |
dc.contributor.author | Yang, Seung-Eun | - |
dc.contributor.author | Park, Kwang-Hyun | - |
dc.contributor.author | Bien, Zeungnam | - |
dc.date.accessioned | 2023-12-22T06:37:50Z | - |
dc.date.available | 2023-12-22T06:37:50Z | - |
dc.date.created | 2019-10-24 | - |
dc.date.issued | 2011 | - |
dc.description.abstract | Thanks to the rapid advancement of human-computer interaction technologies it is becoming easier for the elderly and/or people with disabilities to operate various electrical systems. Operation of home appliances by using a set of predefined hand gestures is an example. However, hand gesture recognition may fail when the predefined command gestures are similar to some ordinary but meaningless behaviors of the user. This paper uses a gesture spotting method to recognize a designated gesture from other similar gestures. A fuzzy garbage model is proposed to provide a variable reference value to determine whether the user's gesture is the command gesture or not. Further, the authors propose two-stage user adaptation to enhance recognition performance: that is, off-line (batch) adaptation for inter-person variation and on-line (incremental) adaptation for intra-person variation. For implementation of the two-stage adaptation method, a genetic algorithm (GA) and the steepest descent method are adopted for each stage. Experimental results were obtained for 5 different users with left and up command gestures. | - |
dc.identifier.bibliographicCitation | INTERNARIONAL JOURNAL OF FUZZY SYSTEM APPLICATIONS, v.1, no.3, pp.47 - 65 | - |
dc.identifier.doi | 10.4018/ijfsa.2011070104 | - |
dc.identifier.issn | 2156-177X | - |
dc.identifier.scopusid | 2-s2.0-84880053634 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/28982 | - |
dc.identifier.url | https://www.igi-global.com/gateway/article/55996 | - |
dc.language | 영어 | - |
dc.publisher | IGI Global | - |
dc.title | Gesture spotting using fuzzy garbage model and user adaptation | - |
dc.type | Article | - |
dc.description.isOpenAccess | FALSE | - |
dc.type.docType | Article | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Fuzzy Garbage Model | - |
dc.subject.keywordAuthor | Gesture Spotting | - |
dc.subject.keywordAuthor | Hand Gesture | - |
dc.subject.keywordAuthor | Human-Computer Interaction | - |
dc.subject.keywordAuthor | User Adaptation | - |
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Tel : 052-217-1404 / Email : scholarworks@unist.ac.kr
Copyright (c) 2023 by UNIST LIBRARY. All rights reserved.
ScholarWorks@UNIST was established as an OAK Project for the National Library of Korea.