Chapter Integrating Real-Time Object Detection into an AR-Driven Task Assistance Prototype: An Approach Towards Reducing Specific Motions in Therbligs Theory

Due to challenges in filling vacant positions and the heightened demands posed on existing staff, employers and project managers are progressively considering the recruitment of inexperienced individuals and seeking strategies to swiftly provide them with essential job-specific knowledge. The potent...

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Ngā kaituhi matua: Yuan, Xiang, Mei, Qipei, Li, Xinming
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I whakaputaina: Firenze University Press 2024
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Urunga tuihono:ONIX_20240402_9791221502893_93
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author Yuan, Xiang
Mei, Qipei
Li, Xinming
author_browse Li, Xinming
Mei, Qipei
Yuan, Xiang
author_facet Yuan, Xiang
Mei, Qipei
Li, Xinming
author_sort Yuan, Xiang
collection Directory of Open Access Books
description Due to challenges in filling vacant positions and the heightened demands posed on existing staff, employers and project managers are progressively considering the recruitment of inexperienced individuals and seeking strategies to swiftly provide them with essential job-specific knowledge. The potential of industrial AR has been widely researched to support workers in overcoming skill-related knowledge and enhancing industrial processes. However, most studies focus on demonstrating technology usability across different processes and overcoming engineering hurdles on a case-by-case basis. There is no direct benefit analysis on how AR assists construction tasks at human motion level, and how to eliminate the ineffective motions and reduce the duration of effective motions. To fill this gap, this paper first establishes an AR-based near real-time object detection system of small tools and components involved in task processes for egocentric perception of workers in the construction industry. Later, the Standard Operating Procedure (SOP) for scaffolding assembly activities is deconstructed from a manual process into Therbligs-based elemental motions. Finally, this research conducted a comparative study of two prototypes across four dimensions of evaluation. As a step forward in this direction, this paper renews the connotations of Therbligs theory under industry 5.0 era, rethinks the AR-assisted construction task processes, and applies appropriate technologies enhancing the adaptability of AR technology for construction workers’ needs
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spelling doab-20.500.12854ir-1362462025-07-18T09:46:50Z Chapter Integrating Real-Time Object Detection into an AR-Driven Task Assistance Prototype: An Approach Towards Reducing Specific Motions in Therbligs Theory Yuan, Xiang Mei, Qipei Li, Xinming Augmented Reality (AR) Microsoft HoloLens 2 Object Detection Task Assistance Therbligs thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization Due to challenges in filling vacant positions and the heightened demands posed on existing staff, employers and project managers are progressively considering the recruitment of inexperienced individuals and seeking strategies to swiftly provide them with essential job-specific knowledge. The potential of industrial AR has been widely researched to support workers in overcoming skill-related knowledge and enhancing industrial processes. However, most studies focus on demonstrating technology usability across different processes and overcoming engineering hurdles on a case-by-case basis. There is no direct benefit analysis on how AR assists construction tasks at human motion level, and how to eliminate the ineffective motions and reduce the duration of effective motions. To fill this gap, this paper first establishes an AR-based near real-time object detection system of small tools and components involved in task processes for egocentric perception of workers in the construction industry. Later, the Standard Operating Procedure (SOP) for scaffolding assembly activities is deconstructed from a manual process into Therbligs-based elemental motions. Finally, this research conducted a comparative study of two prototypes across four dimensions of evaluation. As a step forward in this direction, this paper renews the connotations of Therbligs theory under industry 5.0 era, rethinks the AR-assisted construction task processes, and applies appropriate technologies enhancing the adaptability of AR technology for construction workers’ needs 2024-04-07T19:31:03Z 2024-04-07T19:31:03Z 2024-04-02T15:47:17Z 2023 chapter ONIX_20240402_9791221502893_93 2704-5846 https://library.oapen.org/handle/20.500.12657/89124 9791221502893 https://directory.doabooks.org/handle/20.500.12854/136246 eng Proceedings e report open access image/jpeg n/a https://library.oapen.org/bitstream/20.500.12657/89124/1/9791221502893_12.pdf Firenze University Press 10.36253/979-12-215-0289-3.12 10.36253/979-12-215-0289-3.12 2ec4474d-93b1-4cfa-b313-9c6019b51b1a 9791221502893 12 Florence open access
spellingShingle Augmented Reality (AR)
Microsoft HoloLens 2
Object Detection
Task Assistance
Therbligs
thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization
thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization
Yuan, Xiang
Mei, Qipei
Li, Xinming
Chapter Integrating Real-Time Object Detection into an AR-Driven Task Assistance Prototype: An Approach Towards Reducing Specific Motions in Therbligs Theory
title Chapter Integrating Real-Time Object Detection into an AR-Driven Task Assistance Prototype: An Approach Towards Reducing Specific Motions in Therbligs Theory
title_full Chapter Integrating Real-Time Object Detection into an AR-Driven Task Assistance Prototype: An Approach Towards Reducing Specific Motions in Therbligs Theory
title_fullStr Chapter Integrating Real-Time Object Detection into an AR-Driven Task Assistance Prototype: An Approach Towards Reducing Specific Motions in Therbligs Theory
title_full_unstemmed Chapter Integrating Real-Time Object Detection into an AR-Driven Task Assistance Prototype: An Approach Towards Reducing Specific Motions in Therbligs Theory
title_short Chapter Integrating Real-Time Object Detection into an AR-Driven Task Assistance Prototype: An Approach Towards Reducing Specific Motions in Therbligs Theory
title_sort chapter integrating real time object detection into an ar driven task assistance prototype an approach towards reducing specific motions in therbligs theory
topic Augmented Reality (AR)
Microsoft HoloLens 2
Object Detection
Task Assistance
Therbligs
thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization
thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization
topic_facet Augmented Reality (AR)
Microsoft HoloLens 2
Object Detection
Task Assistance
Therbligs
thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization
thema EDItEUR::U Computing and Information Technology::UT Computer networking and communications::UTV Virtualization
url ONIX_20240402_9791221502893_93
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AT meiqipei chapterintegratingrealtimeobjectdetectionintoanardriventaskassistanceprototypeanapproachtowardsreducingspecificmotionsintherbligstheory
AT lixinming chapterintegratingrealtimeobjectdetectionintoanardriventaskassistanceprototypeanapproachtowardsreducingspecificmotionsintherbligstheory