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Virtual Reality-Based Random Dot Kinematogram

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dc.contributor.authorMa, Jun-
dc.contributor.authorKim, Hyo-Jung-
dc.contributor.authorKim, Ji-Soo-
dc.contributor.authorLee, Eek-Sung-
dc.contributor.authorHong, Min-
dc.date.accessioned2021-09-10T06:44:27Z-
dc.date.available2021-09-10T06:44:27Z-
dc.date.issued2021-06-
dc.identifier.issn1546-2218-
dc.identifier.issn1546-2226-
dc.identifier.urihttps://scholarworks.bwise.kr/sch/handle/2021.sw.sch/19291-
dc.description.abstractThis research implements a random dot kinematogram (RDK) using virtual reality (VR) and analyzes the results based on normal subjects. Visual motion perception is one of visual functions localized to a specific cortical area, the human motion perception area (human analogue for the middle temporal/middle superior temporal area) located in the parieto-occipito- temporal junction of the human brain. The RDK measures visual motion perception capabilities. The stimuli in conventional RDK methods are presented using a monitor screen, so these devices require a spacious dark room for installation and use. Recently, VR technology has been implemented in different medical domains. The test method proposed in this study include a VR-based RDK that can independently measure human motion perception abilities without any spatial constraints via a VR head-mounted display. Subsequently, the VR-based RDK was implemented, and the visual perception abilities of the normal subjects were measured based on varying coherences. In both screen-and VR-based RDK tests, the easier the stimulus is, the higher the correct answer rate and the shorter the reaction time. No significant differences in coherence thresholds were observed between the two test methods. The VRbased RDK proposed in this study can be used as a diagnosis tool for visual motion perception and neurodegenerative disorders affecting the posterior region of the brain.-
dc.format.extent9-
dc.language영어-
dc.language.isoENG-
dc.publisherTech Science Press-
dc.titleVirtual Reality-Based Random Dot Kinematogram-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.32604/cmc.2021.018080-
dc.identifier.scopusid2-s2.0-85105652538-
dc.identifier.wosid000648908000019-
dc.identifier.bibliographicCitationComputers, Materials and Continua, v.68, no.3, pp 4205 - 4213-
dc.citation.titleComputers, Materials and Continua-
dc.citation.volume68-
dc.citation.number3-
dc.citation.startPage4205-
dc.citation.endPage4213-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.subject.keywordPlusMOTION PERCEPTION-
dc.subject.keywordPlusVISUAL-MOTION-
dc.subject.keywordPlusHUMAN BRAIN-
dc.subject.keywordPlusREHABILITATION-
dc.subject.keywordPlusLESIONS-
dc.subject.keywordPlusIMPAIRMENT-
dc.subject.keywordPlusMOVEMENT-
dc.subject.keywordAuthorRandom dot kinematogram-
dc.subject.keywordAuthorvirtual reality-
dc.subject.keywordAuthorvisual psychophysics-
dc.subject.keywordAuthordiagnostic device-
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