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dc.contributor.authorSong, Yu (Wolf)
dc.date.accessioned2023-11-29T18:59:57Z
dc.date.available2023-11-29T18:59:57Z
dc.date.copyright8/25/2023 12:00:00 AM
dc.date.issued8/25/2023 12:00:00 AM
dc.date.issued2023-08-25
dc.identifier.issn1530-9827
dc.identifier.otherjcise_23_6_060819.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4294515
dc.description.abstractIn the past decade, human digital twins (HDTs) attracted attention in both digital twin (DT) applications and beyond. In this paper, we discuss the concept and the development of HDTs, focusing on their architecture, key enabling technologies, and (potential) applications. Based on the literature, we identify personal data, model, and interface as three key modules in the proposed HDT architecture, supported by a data lake of human data and a model and interface library. Regarding the key enabling technologies that support the HDT functions, we envision that the internet of things (IoT) infrastructure, data security, wearables, human modeling, explainable artificial intelligence (AI), minimum viable sensing, and data visualization are closely associated with the development of HDTs. Finally, we investigate current applications of HDTs, with a particular emphasis on the opportunities that arise from leveraging HDTs in the field of personalized product design.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleHuman Digital Twin, the Development and Impact on Design
dc.typeJournal Paper
dc.journal.volume23
dc.journal.issue6
dc.journal.titleJournal of Computing and Information Science in Engineering
dc.identifier.doi10.1115/1.4063132
dc.journal.fristpage60819-1
dc.journal.lastpage60819-11
dc.page11
dc.treeJournal of Computing and Information Science in Engineering:;2023:;volume( 023 ):;issue: 006
dc.contenttypeFulltext


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