IoT-Enabled Wearable Fatigue-Tracking System for Mine Operators
This study explores the possibility of investigating operator fatigue via the use of off-the-shelf wearable devices and custom applications. Fatigue is a complex biological phenomenon, and both subjective and objective data are needed to assess it properly. The development of any application and the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-02-01
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| Series: | Minerals |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-163X/13/2/287 |
| _version_ | 1797619068705964032 |
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| author | W. Pratt Rogers Joao Marques Elaheh Talebi Frank A. Drews |
| author_facet | W. Pratt Rogers Joao Marques Elaheh Talebi Frank A. Drews |
| author_sort | W. Pratt Rogers |
| collection | DOAJ |
| description | This study explores the possibility of investigating operator fatigue via the use of off-the-shelf wearable devices and custom applications. Fatigue is a complex biological phenomenon, and both subjective and objective data are needed to assess it properly. The development of any application and the assessments of fatigue should be guided by psychological insights. The methods used to conceptualize and develop a fatigue-tracking application on a wearable device are presented. Subjective fatigue data are collected using the Karolinska Sleepiness Scale, while the objective data are collected using reaction time measurements. The development and testing of the application are presented in this paper. Data collected with the system suggest that such a system can potentially replace other, more expensive and intrusive approaches to measure fatigue. Future work on IoT applications will need to examine organizational culture and support to assess the effectiveness of such an approach. |
| first_indexed | 2024-03-11T08:21:44Z |
| format | Article |
| id | doaj.art-0cde5fa34484461790605710fc563265 |
| institution | Directory Open Access Journal |
| issn | 2075-163X |
| language | English |
| last_indexed | 2024-03-11T08:21:44Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Minerals |
| spelling | doaj.art-0cde5fa34484461790605710fc5632652023-11-16T22:19:25ZengMDPI AGMinerals2075-163X2023-02-0113228710.3390/min13020287IoT-Enabled Wearable Fatigue-Tracking System for Mine OperatorsW. Pratt Rogers0Joao Marques1Elaheh Talebi2Frank A. Drews3Department of Mining Engineering, University of Utah, Salt Lake City, UT 84112, USADepartment of Mining Engineering, University of Utah, Salt Lake City, UT 84112, USADepartment of Mining Engineering, University of Utah, Salt Lake City, UT 84112, USADepartment of Psychology, University of Utah, Salt Lake City, UT 84112, USAThis study explores the possibility of investigating operator fatigue via the use of off-the-shelf wearable devices and custom applications. Fatigue is a complex biological phenomenon, and both subjective and objective data are needed to assess it properly. The development of any application and the assessments of fatigue should be guided by psychological insights. The methods used to conceptualize and develop a fatigue-tracking application on a wearable device are presented. Subjective fatigue data are collected using the Karolinska Sleepiness Scale, while the objective data are collected using reaction time measurements. The development and testing of the application are presented in this paper. Data collected with the system suggest that such a system can potentially replace other, more expensive and intrusive approaches to measure fatigue. Future work on IoT applications will need to examine organizational culture and support to assess the effectiveness of such an approach.https://www.mdpi.com/2075-163X/13/2/287wearable deviceoperator fatiguesleepiness scalereaction time |
| spellingShingle | W. Pratt Rogers Joao Marques Elaheh Talebi Frank A. Drews IoT-Enabled Wearable Fatigue-Tracking System for Mine Operators Minerals wearable device operator fatigue sleepiness scale reaction time |
| title | IoT-Enabled Wearable Fatigue-Tracking System for Mine Operators |
| title_full | IoT-Enabled Wearable Fatigue-Tracking System for Mine Operators |
| title_fullStr | IoT-Enabled Wearable Fatigue-Tracking System for Mine Operators |
| title_full_unstemmed | IoT-Enabled Wearable Fatigue-Tracking System for Mine Operators |
| title_short | IoT-Enabled Wearable Fatigue-Tracking System for Mine Operators |
| title_sort | iot enabled wearable fatigue tracking system for mine operators |
| topic | wearable device operator fatigue sleepiness scale reaction time |
| url | https://www.mdpi.com/2075-163X/13/2/287 |
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