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Cited 8 time in webofscience Cited 12 time in scopus
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Motion recognition technology based remote Taekwondo Poomsae evaluation system

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dc.contributor.authorChoi, Chang-Hoon-
dc.contributor.authorJoo, Hae-Jong-
dc.date.accessioned2024-09-26T09:02:55Z-
dc.date.available2024-09-26T09:02:55Z-
dc.date.issued2016-11-
dc.identifier.issn1380-7501-
dc.identifier.issn1573-7721-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/23838-
dc.description.abstractThis paper finally aims to make the public confident, fair and objective Taekwondo evaluation environment through development of publically certified remote Taekwondo Dan( Poom) promotion evaluation platform and, further vitalize Taekwondo and arrange the base for popularization and distribution of remote Taekwondo Poomsae promotion evaluation system. For this, this paper proposed the remote Poomsae evaluation system which may judge and evaluate the accuracy of motion comparing Taekwondo Poomsae motion of the evaluator to that of black belt player using the motion recognition technology which may recognize Taekwondo Poomsae motion through the trace of certain joint regions. In addition, the researcher investigated the accuracy of each algorithm for the date of relatively simple motions trained using the various motion recognition technologies. Also, the final establishment platform was proposed based on the system configuration, module architecture and the entire process according to the remote Taekwondo Poomsae evaluation platform to be implemented in future.-
dc.format.extent14-
dc.language영어-
dc.language.isoENG-
dc.publisherSPRINGER-
dc.titleMotion recognition technology based remote Taekwondo Poomsae evaluation system-
dc.typeArticle-
dc.publisher.location네델란드-
dc.identifier.doi10.1007/s11042-015-2901-1-
dc.identifier.scopusid2-s2.0-84940056365-
dc.identifier.wosid000386776800010-
dc.identifier.bibliographicCitationMULTIMEDIA TOOLS AND APPLICATIONS, v.75, no.21, pp 13135 - 13148-
dc.citation.titleMULTIMEDIA TOOLS AND APPLICATIONS-
dc.citation.volume75-
dc.citation.number21-
dc.citation.startPage13135-
dc.citation.endPage13148-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordAuthorMotion recognition-
dc.subject.keywordAuthorRemote evaluation system-
dc.subject.keywordAuthorTaekwondo Poomsae-
dc.subject.keywordAuthorKINECT sensor-
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