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 |
|---|---|
| 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 |
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CORE (COnnecting REpositories)