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  5. A framework for selecting and assessing wearable sensors deployed in safety critical scenarios
 
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A framework for selecting and assessing wearable sensors deployed in safety critical scenarios
File(s)
sensors-24-04589-v2.pdf (1.74 MB)
Published version
Author(s)
Houghton, Robert
Martinetti, Alberto
Majumdar, Arnab
Type
Journal Article
Abstract
Wearable sensors for psychophysiological monitoring are becoming increasingly mainstream in safety critical contexts. They offer a novel solution to capturing sub-optimal states and can help identify when workers in safety critical environments are suffering from states such as fatigue and stress. However, sensors can differ widely in their application, design, usability, and measurement and there is a lack of guidance on what should be prioritized or considered when selecting a sensor. The paper aims to highlight which concepts are important when creating or selecting a device regarding the optimization of both measurement and usability. Additionally, the paper discusses how design choices can enhance both the usability and measurement capabilities of wearable sensors. The hopes are that this paper will provide researchers and practitioners in human factors and related fields with a framework to help guide them in building and selecting wearable sensors that are well suited for deployment in safety critical contexts.
Date Issued
2024-07
Date Acceptance
2024-07-08
Citation
Sensors, 2024, 24 (14)
URI
http://hdl.handle.net/10044/1/113567
URL
https://www.mdpi.com/1424-8220/24/14/4589
DOI
https://www.dx.doi.org/10.3390/s24144589
ISSN
1424-8220
Publisher
MDPI
Journal / Book Title
Sensors
Volume
24
Issue
14
Copyright Statement
© 2024 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/).
License URL
https://creativecommons.org/licenses/by/4.0/
Identifier
https://www.mdpi.com/1424-8220/24/14/4589
Publication Status
Published
Article Number
4589
Date Publish Online
2024-07-15
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