Human Digital Twin, the Development and Impact on DesignSource: Journal of Computing and Information Science in Engineering:;2023:;volume( 023 ):;issue: 006::page 60819-1Author:Song, Yu (Wolf)
DOI: 10.1115/1.4063132Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In 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.
|
Show full item record
contributor author | Song, Yu (Wolf) | |
date accessioned | 2023-11-29T18:59:57Z | |
date available | 2023-11-29T18:59:57Z | |
date copyright | 8/25/2023 12:00:00 AM | |
date issued | 8/25/2023 12:00:00 AM | |
date issued | 2023-08-25 | |
identifier issn | 1530-9827 | |
identifier other | jcise_23_6_060819.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4294515 | |
description abstract | In 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. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Human Digital Twin, the Development and Impact on Design | |
type | Journal Paper | |
journal volume | 23 | |
journal issue | 6 | |
journal title | Journal of Computing and Information Science in Engineering | |
identifier doi | 10.1115/1.4063132 | |
journal fristpage | 60819-1 | |
journal lastpage | 60819-11 | |
page | 11 | |
tree | Journal of Computing and Information Science in Engineering:;2023:;volume( 023 ):;issue: 006 | |
contenttype | Fulltext |