Mgbemena, C.E., Oyekan, J., Hutabarat, W. et al. (2 more authors) (2018) Design and implementation of ergonomic risk assessment feedback system for improved work posture assessment. Theoretical Issues in Ergonomics Science, 19 (4). pp. 431-455. ISSN 1463-922X
Abstract
Ergonomic risk factors which include force, repetition and awkward postures, can result in Work-Related Musculoskeletal Disorders (WMSDs) among workers. Hence, systems that provide real-time feedback to the worker concerning his current ergonomic behaviours are desirable. This paper presents the design and implementation of a human-machine interface posture assessment feedback system whose conceptual model is developed through a model-driven development perspective using the Unified Modeling Language (UML) and interface flow diagrams. The resulting system provides a shop floor with a simple, cost-effective and automatic tool for real-time display of worker's postures. Testing the system on volunteer participants reveals that it is easy to use, achieves real-time posture assessment and provides easy-to-understand feedback to workers. This system may be useful for reducing the rate of occurrence of awkward postures, one of the contributing factors to risk of WMSDs among workers.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Taylor & Francis. This is an author produced version of a paper subsequently published in Theoretical Issues in Ergonomics Science. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Awkward postures; ergonomics; manual handling; user interface; real-time feedback |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 17 Nov 2017 13:35 |
Last Modified: | 15 Nov 2023 11:46 |
Status: | Published |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Identification Number: | 10.1080/1463922X.2017.1381196 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:124209 |