. Kim, G., Kim, D., Noh, S. D., Han, H. K., Kim, N. G., Kang, Y., Choi, S. H., Go, D. H., Song, J., Lee, D. Y., & Kim, H. S. Volume 664, Kim, D Y, VonCieminski, G, & Romero, D, editors. Human Digital Twin System for Operator Safety and Work Management, pages 529-536. SPRINGER INTERNATIONAL PUBLISHING AG, 2022. Springer - sem acesso
Paper doi abstract bibtex The value-driven Industry 5.0 has brought a shift in the approach towards worker well-being. However, the understanding of the effects on workers due to technological advancements of Industry 4.0, based on a human-centric approach, is limited. The reason for this limitation is that the tools are scarce, which is quantitatively evaluating and analyzing various factors in the workplace. To solve this problem, we propose a human digital twin system supporting decision-making regarding safety management and work management of workers. The human digital twin system consists of a digital twin module, an analysis module, and a visualization module. The proposed system connects a physical human and a virtual digital human model; analyzes the location, posture, and motion-time of workers; and delivers information about safety and work management. This information enables workers and managers to improve the work environment by making them resilient to workplace factors.
@inbook{Kim2022,
abstract = {The value-driven Industry 5.0 has brought a shift in the approach
towards worker well-being. However, the understanding of the effects on
workers due to technological advancements of Industry 4.0, based on a
human-centric approach, is limited. The reason for this limitation is
that the tools are scarce, which is quantitatively evaluating and
analyzing various factors in the workplace. To solve this problem, we
propose a human digital twin system supporting decision-making regarding
safety management and work management of workers. The human digital twin
system consists of a digital twin module, an analysis module, and a
visualization module. The proposed system connects a physical human and
a virtual digital human model; analyzes the location, posture, and
motion-time of workers; and delivers information about safety and work
management. This information enables workers and managers to improve the
work environment by making them resilient to workplace factors.},
author = {Goo-Young Kim and Donghun Kim and Sang Do Noh and Hong Ku Han and Nam Geun Kim and Yong-Shin Kang and Seung Hyun Choi and Dong Hyun Go and Jungmin Song and Dae Yub Lee and Hyung Sun Kim},
city = {GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND},
doi = {10.1007/978-3-031-16411-8_61},
editor = {D Y Kim and G VonCieminski and D Romero},
isbn = {978-3-031-16411-8; 978-3-031-16410-1},
issn = {1868-4238},
booktitle = {ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: SMART MANUFACTURING AND
LOGISTICS SYSTEMS: TURNING IDEAS INTO ACTION, APMS 2022, PT II},
keywords = {Industry 5.0; Operator 4.0; Human digital twin system},
note = {Springer - sem acesso},
pages = {529-536},
publisher = {SPRINGER INTERNATIONAL PUBLISHING AG},
title = {Human Digital Twin System for Operator Safety and Work Management},
volume = {664},
url = {https://link.springer.com/10.1007/978-3-031-16411-8_61},
year = {2022}
}
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The proposed system connects a physical human and a virtual digital human model; analyzes the location, posture, and motion-time of workers; and delivers information about safety and work management. 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