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Arm Orientation Estimation Method with Multiple Devices for NUI/NUX

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dc.contributor.authorSung, Yunsick-
dc.contributor.authorChoi, Ryong-
dc.contributor.authorJeong, Young-Sik-
dc.date.accessioned2024-08-08T10:31:52Z-
dc.date.available2024-08-08T10:31:52Z-
dc.date.issued2018-08-
dc.identifier.issn1976-913X-
dc.identifier.issn2092-805X-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/21513-
dc.description.abstractMotion estimation is a key Natural User Interface/Natural User Experience (NUI/NUX) technology to utilize motions as commands. HTC VIVE is an excellent device for estimating motions but only considers the positions of hands, not the orientations of arms. Even if the positions of the hands are the same, the meaning of motions can differ according to the orientations of the arms. Therefore, when the positions of arms are measured and utilized, their orientations should be estimated as well. This paper proposes a method for estimating the arm orientations based on the Bayesian probability of the hand positions measured in advance. In experiments, the proposed method was used to measure the hand positions with HTC VIVE. The results showed that the proposed method estimated orientations with an error rate of about 19%, but the possibility of estimating the orientation of any body part without additional devices was demonstrated.-
dc.format.extent9-
dc.language영어-
dc.language.isoENG-
dc.publisher한국정보처리학회-
dc.titleArm Orientation Estimation Method with Multiple Devices for NUI/NUX-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.3745/JIPS.02.0087-
dc.identifier.scopusid2-s2.0-85052647768-
dc.identifier.bibliographicCitationJIPS(Journal of Information Processing Systems), v.14, no.4, pp 980 - 988-
dc.citation.titleJIPS(Journal of Information Processing Systems)-
dc.citation.volume14-
dc.citation.number4-
dc.citation.startPage980-
dc.citation.endPage988-
dc.type.docTypeArticle-
dc.identifier.kciidART002381291-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClassesci-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.subject.keywordAuthorBayesian Probability-
dc.subject.keywordAuthorHTC VIVE-
dc.subject.keywordAuthorMotion Estimation-
dc.subject.keywordAuthorNUI/NUX-
dc.subject.keywordAuthorThalmic Myo-
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