Technical Papers
May 23, 2022

VR–MOCAP-Enabled Ergonomic Risk Assessment of Workstation Prototypes in Offsite Construction

Publication: Journal of Construction Engineering and Management
Volume 148, Issue 8

Abstract

Workers in offsite construction facilities are often exposed to repetitive motion and awkward body postures that are associated with the risk of developing work-related musculoskeletal disorders despite the use of automated equipment on production lines. To reduce the exposure to these risks, an investigation of the physical demands that workstations impose on workers’ bodies is needed. Since traditional methods used to collect human body motions have limitations, such as workplace interruptions and biased results due to subjective observation, this paper proposes a virtual reality (VR)–motion capture (MOCAP)-based ergonomic assessment method to evaluate ergonomic risks in a laboratory setting during the design phase of workstation development. It is expected that the number of iterations of physical workstation prototypes would be reduced if ergonomic risk ratings are identified proactively in the initial phases of workstation design, which would thereby reduce the cost and time required to develop and implement an improved workstation design. The present study includes a feasibility analysis of the proposed method in which participants representative of specific percentiles of the population based on their physical stature were invited to voluntarily participate in a research experiment. The results obtained demonstrate that the proposed method can successfully simulate the elemental motions, referred to as therbligs, of reaching and positioning (Pearson’s correlation coefficient is found to equal 0.80 and 0.94, respectively), while the simulation of the assembling therblig requires further investigation. The contribution of this study is a virtual reality–motion captured-enabled ergonomic risk assessment method applied to workstation design for offsite construction production lines. In addition, the deployment of the proposed method allows a holistic ergonomic assessment that considers objective and subjective parameters.

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Data Availability Statement

Some or all data (anonymized data collected during research experiments), models (VR models), or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors appreciate the technical writing assistance of Kristin Berg. The authors also express their gratitude to Melissa McNeil for assisting in designing the 3D scenes used in the VR model, to Mohammad Darwish, Ammar Muhrez, and Anas Itani for assembling the physical prototypes, to Anas Itani for providing the design options evaluated in this study, and to all the volunteers that participated in the experiment. The authors also acknowledge the support from their industry partner, All Weather Windows. This work was supported by the University of Alberta and the Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery (Grant No. RGPIN-2019-04585) and Collaborative Research and Development (Grant No. CRDPJ 533884-18).

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 148Issue 8August 2022

History

Received: Oct 28, 2021
Accepted: Mar 22, 2022
Published online: May 23, 2022
Published in print: Aug 1, 2022
Discussion open until: Oct 23, 2022

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Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 7th Floor, Donadeo Innovation Centre for Engineering, 9211 116 St. NW, Edmonton, AB, Canada T6G 1H9. ORCID: https://orcid.org/0000-0002-5132-5695. Email: [email protected]
Professor, Dept. of Civil and Environmental Engineering, Univ. of Alberta, 7th Floor, Donadeo Innovation Centre for Engineering, 9211 116 St. NW, Edmonton, AB, Canada T6G 1H9. ORCID: https://orcid.org/0000-0002-1774-9718. Email: [email protected]
Assistant Professor, Dept. of Mechanical Engineering, Univ. of Alberta, 10th Floor, Donadeo Innovation Centre of Engineering, 9211 116 St. NW, Edmonton, AB, Canada T6G 1H9 (corresponding author). ORCID: https://orcid.org/0000-0001-6802-033X. Email: [email protected]

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