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Bridging Real and Virtual: Human Digital Twin Strategies for Workspaces

Published: 03 April 2024 Publication History

Abstract

The Human Digital Twin (HDT) is a pivotal element in smart manufacturing systems geared towards Industry 5.0. HDT represents a digital manifestation of humans, aiming to innovate the integration between humans and systems by directly linking human characteristics to system design and performance. However, recent research lacks a standardized framework and architecture for HDT that can be applied across various real-world scenarios. This study introduces an approach that integrates 3D pose estimation through mono camera input and AR Glass, digitally twinning detailed work actions and human behavior of workers in a smart manufacturing environment. By facilitating effective monitoring of the work environment by managers, this approach contributes to boosting overall productivity. The paper discusses potential strategies to elevate the development of HDT and provides guidelines on possible directions and challenges for its advancement.

References

[1]
Valentin Bazarevsky, Ivan Grishchenko, Karthik Raveendran, Tyler Zhu, Fan Zhang, and Matthias Grundmann. 2020. Blazepose: On-device real-time body pose tracking. arXiv preprint arXiv:2006.10204 (2020).
[2]
Matthew Loper, Naureen Mahmood, Javier Romero, Gerard Pons-Moll, and Michael J Black. 2023. SMPL: A skinned multi-person linear model. In Seminal Graphics Papers: Pushing the Boundaries, Volume 2. 851--866.
[3]
David Sousa Nunes, Pei Zhang, and Jorge Sá Silva. 2015. A survey on human-in-the-loop applications towards an internet of all. IEEE Communications Surveys & Tutorials 17, 2 (2015), 944--965.
[4]
Wei Shengli. 2021. Is human digital twin possible? Computer Methods and Programs in Biomedicine Update 1 (2021), 100014.
[5]
Baicun Wang, Huiying Zhou, Xingyu Li, Geng Yang, Pai Zheng, Ci Song, Yixiu Yuan, Thorsten Wuest, Huayong Yang, and Lihui Wang. 2024. Human Digital Twin in the context of Industry 5.0. Robotics and Computer-Integrated Manufacturing 85 (2024), 102626.

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  1. Bridging Real and Virtual: Human Digital Twin Strategies for Workspaces

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    cover image ACM Conferences
    BDCAT '23: Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies
    December 2023
    187 pages
    ISBN:9798400704734
    DOI:10.1145/3632366
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    New York, NY, United States

    Publication History

    Published: 03 April 2024

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    Author Tags

    1. human digital twin
    2. Industry5.0
    3. 3D pose estimation
    4. AR
    5. VR
    6. avatar construction

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    • Research-article

    Funding Sources

    • Ministry of Trade, Industry Energy (MOTIE, Korea)

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    BDCAT '23
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    Overall Acceptance Rate 27 of 93 submissions, 29%

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