Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/111359
PIRA download icon_1.1View/Download Full Text
Title: Biomechanical assessment of a passive back exoskeleton using vision-based motion capture and virtual modeling
Authors: Zhou, Y 
Seo, J 
Gong, Y 
Heung, KH 
Khan, M 
Lei, T 
Issue Date: Apr-2025
Source: Automation in construction, Apr. 2025, v. 172, 106035
Abstract: This paper proposes a video-driven biomechanical analysis method for measuring muscular loads influenced by wearing an exoskeleton suit, combining vision-based motion capture and virtual modeling approaches. Motion data obtained from site videos is integrated with a newly developed human-exoskeleton model in biomechanical software, to simulate muscular loads on the human body and evaluate exoskeleton suits. This method has been validated through experimental tests, where simulated and directly measured muscle activations were compared for four types of lifting tasks. The results indicate that this method successfully estimates neuromuscular activations of the low back muscles with and without wearing an exoskeleton suit, though the effect of the exoskeleton suit tends to be overestimated in simulations. Despite this limitation, the proposed method is expected to assist in efficiently evaluating exoskeleton use in practice, thereby facilitating the more widespread adoption of passive exoskeletons in construction.
Keywords: Back support exoskeleton
Biomechanical analysis
Motion capture
Object lifting
Virtual validation
Publisher: Elsevier
Journal: Automation in construction 
ISSN: 0926-5805
EISSN: 1872-7891
DOI: 10.1016/j.autcon.2025.106035
Rights: © 2025 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC license ( http://creativecommons.org/licenses/by- nc/4.0/ ).
The following publication Zhou, Y., Seo, J., Gong, Y., Heung, K. H., Khan, M., & Lei, T. (2025). Biomechanical assessment of a passive back exoskeleton using vision-based motion capture and virtual modeling. Automation in Construction, 172, 106035 is available at https://doi.org/10.1016/j.autcon.2025.106035.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
1-s2.0-S0926580525000755-main.pdf2.85 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.