Abstract

The concept of the Human Digital Twin (HDT) has recently emerged as a new research area within the domain of digital twin technology. HDT refers to the replica of a physical-world human in the digital world. Currently, research on HDT is still in its early stages, with a lack of comprehensive and in-depth analysis from the perspectives of universal frameworks, core technologies, and applications. Therefore, this paper conducts an extensive literature review on HDT research, analyzing the underlying technologies and establishing typical frameworks in which the core HDT functions or components are organized. Based on the findings from the aforementioned work, the paper proposes a generic architecture for the HDT system and describes the core function blocks and corresponding technologies. Subsequently, the paper presents the state of the art of HDT technologies and their applications in the healthcare, industry, and daily life domains. Finally, the paper discusses various issues related to the development of HDT and points out the trends and challenges of future HDT research and development.

Details

Title
Human digital twin: a survey
Author
Lin, Yujia 1 ; Chen, Liming 2 ; Ali, Aftab 3 ; Nugent, Christopher 3 ; Cleland, Ian 3 ; Li, Rongyang 4 ; Ding, Jianguo 5 ; Ning, Huansheng 4 

 Linyi University, School of Computer Science and Engineering, Lin Yi, China (GRID:grid.410747.1) (ISNI:0000 0004 1763 3680); University of Science and Technology Beijing, School of Computer and Communication Engineering, Beijing, China (GRID:grid.69775.3a) (ISNI:0000 0004 0369 0705); Party School of the Chunan County Committee of C.P.C, Hangzhou, China (GRID:grid.69775.3a) 
 Dalian University of Technology, School of Computer Science and Technology, Dalian, China (GRID:grid.30055.33) (ISNI:0000 0000 9247 7930) 
 Ulster University, School of Computing, Belfast, UK (GRID:grid.12641.30) (ISNI:0000 0001 0551 9715) 
 University of Science and Technology Beijing, School of Computer and Communication Engineering, Beijing, China (GRID:grid.69775.3a) (ISNI:0000 0004 0369 0705) 
 Blekinge Institute of Technology, Department of Computer Science, Karlskrona, Sweden (GRID:grid.418400.9) (ISNI:0000 0001 2284 8991) 
Pages
131
Publication year
2024
Publication date
Dec 2024
Publisher
Springer Nature B.V.
e-ISSN
2192113X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3093306244
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.