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dc.contributor.author김지은-
dc.date.accessioned2019-12-08T03:29:39Z-
dc.date.available2019-12-08T03:29:39Z-
dc.date.issued2018-05-
dc.identifier.citationJOVE-JOURNAL OF VISUALIZED EXPERIMENTS, no. 134, Article no. e57284en_US
dc.identifier.issn1940-087X-
dc.identifier.urihttps://www.jove.com/video/57284/measuring-kinematics-daily-living-movements-with-motion-capture-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/118713-
dc.description.abstractThe inability to complete instrumental activities of daily living (IADL) is a precursor to various neuropsychological diseases. Questionnaire-based assessments of IADL are easy to use but prone to subjective bias. Here, we describe a novel virtual reality (VR) test to assess two complex IADL tasks: handling financial transactions and using public transportation. While a participant performs the tasks in a VR setting, a motion capture system traces the position and orientation of the dominant hand and head in a three-dimensional Cartesian coordinate system. Kinematic raw data are collected and converted into 'kinematic performance measures,' i.e., motion trajectory, moving distance, and time to completion. Motion trajectory is the path of a particular body part (e.g., dominant hand or head) in space. Moving distance refers to the total distance of the trajectory, and time to completion is how long it took to complete an IADL task. These kinematic measures could discriminate patients with cognitive impairment from healthy controls. The development of this kinematic measuring protocol allows detection of early IADL-related cognitive impairments.en_US
dc.description.sponsorshipK.S. and A.L. contribute equally. This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2016R1D1A1B03931389).en_US
dc.language.isoen_USen_US
dc.publisherJOURNAL OF VISUALIZED EXPERIMENTSen_US
dc.subjectBehavioren_US
dc.subjectIssue 134en_US
dc.subjectKinematicsen_US
dc.subjectVirtual Realityen_US
dc.subjectMotion Captureen_US
dc.subjectAssessmenten_US
dc.subjectInstrumental Activities of Daily Livingen_US
dc.subjectBodyen_US
dc.subjectTrajectoryen_US
dc.subjectMoving Distanceen_US
dc.subjectTime to Completionen_US
dc.subjectMild Cognitive Impairmenten_US
dc.subjectDementiaen_US
dc.titleMeasuring the Kinematics of Daily Living Movements with Motion Capture Systems in Virtual Realityen_US
dc.typeArticleen_US
dc.relation.no134-
dc.identifier.doi10.3791/57284-
dc.relation.page1-1-
dc.relation.journalJOVE-JOURNAL OF VISUALIZED EXPERIMENTS-
dc.contributor.googleauthorSeo, Kyoungwon-
dc.contributor.googleauthorLee, Ahreum-
dc.contributor.googleauthorKim, Jieun-
dc.contributor.googleauthorRyu, Hokyoung-
dc.contributor.googleauthorChoi, Hojin-
dc.relation.code2018006286-
dc.sector.campusS-
dc.sector.daehakGRADUATE SCHOOL OF TECHNOLOGY & INNOVATION MANAGEMENT[S]-
dc.sector.departmentDEPARTMENT OF TECHNOLOGY MANAGEMENT-
dc.identifier.pidjkim2-


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