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Nothing is more revealing than body movement: Measuring the movement kinematics in VR to screen dementia

Authors
Seo, KyoungwonRyu, Hokyoung
Issue Date
Apr-2018
Publisher
Association for Computing Machinery
Keywords
Kinematics; instrumental activities of daily living; virtual reality; movement; dementia.
Citation
Conference on Human Factors in Computing Systems - Proceedings, pp.21 - 24
Indexed
SCOPUS
Journal Title
Conference on Human Factors in Computing Systems - Proceedings
Start Page
21
End Page
24
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/150333
DOI
10.1145/3205851.3205857
ISSN
0000-0000
Abstract
The inability to complete instrumental activities of daily living (IADL) is the early signs of dementia. 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 subject 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, speed. Inclusion of these kinematic measures significantly improved the classification of patients with early dementia.
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GRADUATE SCHOOL OF TECHNOLOGY & INNOVATION MANAGEMENT (DEPARTMENT OF TECHNOLOGY MANAGEMENT)
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