Examining the Landscape of Cognitive Fatigue Detection: A Comprehensive Survey
Cognitive fatigue, a state of reduced mental capacity arising from prolonged cognitive activity, poses significant challenges in various domains, from road safety to workplace productivity. Accurately detecting and mitigating cognitive fatigue is crucial for ensuring optimal performance and minimizi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-03-01
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| Series: | Technologies |
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| Online Access: | https://www.mdpi.com/2227-7080/12/3/38 |
| _version_ | 1797239258789969920 |
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| author | Enamul Karim Hamza Reza Pavel Sama Nikanfar Aref Hebri Ayon Roy Harish Ram Nambiappan Ashish Jaiswal Glenn R. Wylie Fillia Makedon |
| author_facet | Enamul Karim Hamza Reza Pavel Sama Nikanfar Aref Hebri Ayon Roy Harish Ram Nambiappan Ashish Jaiswal Glenn R. Wylie Fillia Makedon |
| author_sort | Enamul Karim |
| collection | DOAJ |
| description | Cognitive fatigue, a state of reduced mental capacity arising from prolonged cognitive activity, poses significant challenges in various domains, from road safety to workplace productivity. Accurately detecting and mitigating cognitive fatigue is crucial for ensuring optimal performance and minimizing potential risks. This paper presents a comprehensive survey of the current landscape in cognitive fatigue detection. We systematically review various approaches, encompassing physiological, behavioral, and performance-based measures, for robust and objective fatigue detection. The paper further analyzes different challenges, including the lack of standardized ground truth and the need for context-aware fatigue assessment. This survey aims to serve as a valuable resource for researchers and practitioners seeking to understand and address the multifaceted challenge of cognitive fatigue detection. |
| first_indexed | 2024-04-24T17:48:41Z |
| format | Article |
| id | doaj.art-ac2ea9c16132411b95f9bb9307073a93 |
| institution | Directory Open Access Journal |
| issn | 2227-7080 |
| language | English |
| last_indexed | 2024-04-24T17:48:41Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Technologies |
| spelling | doaj.art-ac2ea9c16132411b95f9bb9307073a932024-03-27T14:05:51ZengMDPI AGTechnologies2227-70802024-03-011233810.3390/technologies12030038Examining the Landscape of Cognitive Fatigue Detection: A Comprehensive SurveyEnamul Karim0Hamza Reza Pavel1Sama Nikanfar2Aref Hebri3Ayon Roy4Harish Ram Nambiappan5Ashish Jaiswal6Glenn R. Wylie7Fillia Makedon8Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USADepartment of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USADepartment of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USADepartment of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USADepartment of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USADepartment of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USADepartment of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USAKessler Foundation, West Orange, NJ 07052, USADepartment of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USACognitive fatigue, a state of reduced mental capacity arising from prolonged cognitive activity, poses significant challenges in various domains, from road safety to workplace productivity. Accurately detecting and mitigating cognitive fatigue is crucial for ensuring optimal performance and minimizing potential risks. This paper presents a comprehensive survey of the current landscape in cognitive fatigue detection. We systematically review various approaches, encompassing physiological, behavioral, and performance-based measures, for robust and objective fatigue detection. The paper further analyzes different challenges, including the lack of standardized ground truth and the need for context-aware fatigue assessment. This survey aims to serve as a valuable resource for researchers and practitioners seeking to understand and address the multifaceted challenge of cognitive fatigue detection.https://www.mdpi.com/2227-7080/12/3/38cognitive fatiguefatigue detectionmental fatigue assessmentcognitive performance |
| spellingShingle | Enamul Karim Hamza Reza Pavel Sama Nikanfar Aref Hebri Ayon Roy Harish Ram Nambiappan Ashish Jaiswal Glenn R. Wylie Fillia Makedon Examining the Landscape of Cognitive Fatigue Detection: A Comprehensive Survey Technologies cognitive fatigue fatigue detection mental fatigue assessment cognitive performance |
| title | Examining the Landscape of Cognitive Fatigue Detection: A Comprehensive Survey |
| title_full | Examining the Landscape of Cognitive Fatigue Detection: A Comprehensive Survey |
| title_fullStr | Examining the Landscape of Cognitive Fatigue Detection: A Comprehensive Survey |
| title_full_unstemmed | Examining the Landscape of Cognitive Fatigue Detection: A Comprehensive Survey |
| title_short | Examining the Landscape of Cognitive Fatigue Detection: A Comprehensive Survey |
| title_sort | examining the landscape of cognitive fatigue detection a comprehensive survey |
| topic | cognitive fatigue fatigue detection mental fatigue assessment cognitive performance |
| url | https://www.mdpi.com/2227-7080/12/3/38 |
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