Examining the Landscape of Cognitive Fatigue Detection: A Comprehensive Survey

Author:

Karim Enamul1ORCID,Pavel Hamza Reza1,Nikanfar Sama1ORCID,Hebri Aref1,Roy Ayon1ORCID,Nambiappan Harish Ram1ORCID,Jaiswal Ashish1ORCID,Wylie Glenn R.2,Makedon Fillia1

Affiliation:

1. Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA

2. Kessler Foundation, West Orange, NJ 07052, USA

Abstract

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.

Funder

National Science Foundation

Publisher

MDPI AG

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