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contributor authorSong, Yu (Wolf)
date accessioned2023-11-29T18:59:57Z
date available2023-11-29T18:59:57Z
date copyright8/25/2023 12:00:00 AM
date issued8/25/2023 12:00:00 AM
date issued2023-08-25
identifier issn1530-9827
identifier otherjcise_23_6_060819.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4294515
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.
publisherThe American Society of Mechanical Engineers (ASME)
titleHuman Digital Twin, the Development and Impact on Design
typeJournal Paper
journal volume23
journal issue6
journal titleJournal of Computing and Information Science in Engineering
identifier doi10.1115/1.4063132
journal fristpage60819-1
journal lastpage60819-11
page11
treeJournal of Computing and Information Science in Engineering:;2023:;volume( 023 ):;issue: 006
contenttypeFulltext


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