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Ergonomic risk assessment in DHM tools employing motion data: Exposure calculation and comparison to epidemiological reference data
Department of Industrial and Materials Science, Chalmers University of Technology.
IMM Institute of Environmental Medicine, Karolinska Institutet.
Department of Industrial and Materials Science, Chalmers University of Technology.
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design)ORCID iD: 0000-0003-4596-3815
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2018 (English)In: International Journal of Human Factors Modelling and Simulation, ISSN 1742-5549, Vol. 6, no 1, p. 31-64Article in journal (Refereed) Published
Abstract [en]

Digital human modelling (DHM) allows ergonomic risk assessment to be performed at early stages of design and development. Such assessment is typically based on observational methods, which do not take advantage of the potential of DHM tools to provide precise posture and motion data. This paper describes and illustrates an alternative assessment approach employing DHM tools, inspired by risk assessment based on direct measurements. A literature survey established a reference database of epidemiological associations between exposure and wrist-related disorders. This approach is illustrated by a DHM simulation of a car assembly task. Wrist posture and motion were simulated and compared to the database, predicting the prevalence of work-related musculoskeletal disorders on the basis of direct measurements.

Place, publisher, year, edition, pages
Olney: InderScience Publishers, 2018. Vol. 6, no 1, p. 31-64
Keywords [en]
biomechanical load, digital human modelling, wrist, repetitive strain injuries, direct measurements, exposure-response relationship, physical workload, work-related musculoskeletal disorders, risk assessment
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; INF202 Virtual Ergonomics; VF-KDO
Identifiers
URN: urn:nbn:se:his:diva-15108DOI: 10.1504/IJHFMS.2018.091356OAI: oai:DiVA.org:his-15108DiVA, id: diva2:1202691
Projects
CROMMVirtual Verification of Human-Robot Collaboration3D-SILVER
Part of project
Virtual factories with knowledge-driven optimization (VF-KDO), Knowledge Foundation
Funder
Vinnova, 2012-04584, 2015-03719, 2015-01451
Note

Copyright © 2018 Inderscience Enterprises Ltd.

Available from: 2018-04-29 Created: 2018-04-29 Last updated: 2024-06-19Bibliographically approved

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Högberg, DanLämkull, DanHanson, Lars

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  • apa
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