A Digital Twin City Model for Age-Friendly Communities: Capturing Environmental Distress from Multimodal Sensory Data

dc.contributor.author Ahn, Changbum
dc.contributor.author Ham, Youngjib
dc.contributor.author Kim, Jinwoo
dc.contributor.author Kim, Jaeyoon
dc.date.accessioned 2020-01-04T07:29:38Z
dc.date.available 2020-01-04T07:29:38Z
dc.date.issued 2020-01-07
dc.description.abstract As the worldwide population is aging, the demands of aging-in-place are also increasing and require smarter and more connected cities to keep mobility independence of older adults. However, today’s aging built environment often poses great environmental demands to older adults’ mobility and causes their distresses. To better understand and help mitigating older adults’ distress in their daily trips, this paper proposes constructing the digital twin city (DTC) model that integrates multimodal data (i.e., physiological sensing, visual sensing) on environmental demands in urban communities, so that such environmental demands can be considered in mobility planning of older adults. Specifically, this paper examines how data acquired from various modalities (i.e., electrodermal activity, gait patterns, visual sensing) can portray environmental demands associated with older adults’ mobility. In addition, it discusses the challenges and opportunities of multimodal data fusion in capturing environmental distresses in urban communities.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2020.206
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/63945
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Smart City Digital Twins
dc.subject aging-in-place
dc.subject built environment assessment
dc.subject digital twin city
dc.subject physiological signals
dc.subject visual sensing
dc.title A Digital Twin City Model for Age-Friendly Communities: Capturing Environmental Distress from Multimodal Sensory Data
dc.type Conference Paper
dc.type.dcmi Text
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