Revolutionizing Fatigue Measurement in Aviation: Scientific Innovations for Safety Enhancement

Authors

Kyoungkoo Kang, Embry Riddle Aeronautical UniversityFollow

Submitting Campus

Prescott

Department

Flight Department

Document Type

Article

Publication/Presentation Date

Spring 3-4-2025

Abstract/Description

Fatigue remains a critical concern in aviation, significantly impacting pilot performance, reaction time, and situational awareness. Traditional fatigue assessment methods, such as self-reported surveys and duty-hour limitations, provide limited insights and fail to capture real-time physiological fatigue markers (FAA, 2021; ICAO, 2023). This paper explores innovative scientific approaches to fatigue measurement, including biometric monitoring, artificial intelligence (AI), and neurocognitive assessments, which offer greater accuracy and reliability in fatigue detection.

Advances in wearable technology, real-time data analytics, and brain activity monitoring offer unprecedented accuracy in identifying fatigue-related risks. Studies indicate that fatigue contributes to approximately 20% of aviation incidents (ICAO, 2023), and the National Transportation Safety Board (NTSB) has identified pilot fatigue as a factor in 37 major aviation accidents between 2000 and 2021 (NTSB, 2022). Findings in this study reveal that EEG-based fatigue detection achieves 92% accuracy, compared to 65%-75% in traditional self-reported assessments (Zhao et al., 2012; Azimi et al., 2020).

By integrating these technologies into aviation safety protocols, fatigue management could be revolutionized, benefiting flight instructors, students, and commercial operations alike. This study also explores the implications for policy, training, and operational procedures, highlighting the urgency of adopting scientifically robust methods to mitigate fatigue’s impact on aviation safety.

By integrating these technologies into aviation safety protocols, fatigue management could be revolutionized, benefiting flight instructors, students, and commercial operations alike. This study also explores the implications for policy, training, and operational procedures, highlighting the urgency of adopting scientifically robust methods to mitigate fatigue’s impact on aviation safety.

Scholarly Commons Citation

Kang, K. (2025). Revolutionizing Fatigue Measurement in Aviation: Scientific Innovations for Safety Enhancement. , (). Retrieved from https://commons.erau.edu/publication/2326