TY - GEN
T1 - A Multi-person Collaborative Workshop RULA Verification Method Based on Augmented Reality
AU - Mao, Wanting
AU - Hu, Yaoguang
AU - Yang, Xiaonan
AU - Wang, Jingfei
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Numerous tools for layout verification have been developed in the past few years, which can verify the layout of industrial workshops based on 2D/3D data. However, it is difficult for these tools to visualize and realistically display the interaction and processing between workers and the layout. Augmented reality (AR) can provide visualizations and interact with real‐like three‐dimensional virtual objects, and it is a new tool for industrial workshop layout planning. This paper presents a methodology and the associated tool for using augmented reality in the collaborative layout planning of industrial workshops. Moreover, this paper uses motion capture technology to provide accurate human motion data for layout verification. It first describes the collaborative architecture of the application. Subsequently, application features like virtual model cloud loading, multi-person collaborative operation, and RULA-based layout verification. Finally, the paper illustrates possible usages and benefits of how the AR tool helps verify industrial workshops.
AB - Numerous tools for layout verification have been developed in the past few years, which can verify the layout of industrial workshops based on 2D/3D data. However, it is difficult for these tools to visualize and realistically display the interaction and processing between workers and the layout. Augmented reality (AR) can provide visualizations and interact with real‐like three‐dimensional virtual objects, and it is a new tool for industrial workshop layout planning. This paper presents a methodology and the associated tool for using augmented reality in the collaborative layout planning of industrial workshops. Moreover, this paper uses motion capture technology to provide accurate human motion data for layout verification. It first describes the collaborative architecture of the application. Subsequently, application features like virtual model cloud loading, multi-person collaborative operation, and RULA-based layout verification. Finally, the paper illustrates possible usages and benefits of how the AR tool helps verify industrial workshops.
KW - Augmented reality
KW - Collaboration
KW - Motion capture
KW - RULA
UR - http://www.scopus.com/inward/record.url?scp=85133184898&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-06394-7_14
DO - 10.1007/978-3-031-06394-7_14
M3 - Conference contribution
AN - SCOPUS:85133184898
SN - 9783031063930
T3 - Communications in Computer and Information Science
SP - 90
EP - 97
BT - HCI International 2022 Posters - 24th International Conference on Human-Computer Interaction, HCII 2022, Proceedings
A2 - Stephanidis, Constantine
A2 - Antona, Margherita
A2 - Ntoa, Stavroula
PB - Springer Science and Business Media Deutschland GmbH
T2 - 24th International Conference on Human-Computer Interaction, HCI International, HCII 2022
Y2 - 26 June 2022 through 1 July 2022
ER -