[HTML][HTML] A review of EEG signal features and their application in driver drowsiness detection systems

I Stancin, M Cifrek, A Jovic - Sensors, 2021 - mdpi.com
Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that
is often approached using neurophysiological signals as the basis for building a reliable …

Understanding mental fatigue and its detection: a comparative analysis of assessments and tools

K Kunasegaran, AMH Ismail, S Ramasamy, JV Gnanou… - PeerJ, 2023 - peerj.com
Mental fatigue has shown to be one of the root causes of decreased productivity and overall
cognitive performance, by decreasing an individual's ability to inhibit responses, process …

Deep learning-based construction equipment operators' mental fatigue classification using wearable EEG sensor data

I Mehmood, H Li, Y Qarout, W Umer, S Anwer… - Advanced Engineering …, 2023 - Elsevier
Operator attention failure due to mental fatigue during extended equipment operations is a
common cause of equipment-related accidents that result in catastrophic injuries and …

Fatigue monitoring through wearables: a state-of-the-art review

NR Adão Martins, S Annaheim, CM Spengler… - Frontiers in …, 2021 - frontiersin.org
The objective measurement of fatigue is of critical relevance in areas such as occupational
health and safety as fatigue impairs cognitive and motor performance, thus reducing …

Recognising situation awareness associated with different workloads using EEG and eye-tracking features in air traffic control tasks

Q Li, KKH Ng, CM Simon, CY Yiu, M Lyu - Knowledge-Based Systems, 2023 - Elsevier
The rate of human errors would increase as air traffic control officers (ATCOs) lose situation
awareness (SA), which could also be affected by their perceived workloads. Recognising …

Driver mental fatigue detection based on head posture using new modified reLU-BiLSTM deep neural network

S Ansari, F Naghdy, H Du… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Early detection of driver mental fatigue is one of the active areas of research in smart and
intelligent vehicles. There are various methods, based on measuring the physiological …

Leveraging eye-tracking technologies to promote aviation safety-A review of key aspects, challenges, and future perspectives

L Mengtao, L Fan, X Gangyan, H Su - Safety science, 2023 - Elsevier
The purpose of this study is to explore the key aspects, challenges, and future perspectives
on eye-tracking studies aiming at promoting human-performance-related aviation safety. We …

[HTML][HTML] Application of eye tracking technology in aviation, maritime, and construction industries: A systematic review

D Martinez-Marquez, S **ali, K Panuwatwanich… - Sensors, 2021 - mdpi.com
Most accidents in the aviation, maritime, and construction industries are caused by human
error, which can be traced back to impaired mental performance and attention failure. In …

Mental fatigue measurement using eye metrics: A systematic literature review

T Bafna, JP Hansen - Psychophysiology, 2021 - Wiley Online Library
Mental fatigue measurement techniques utilize one or a combination of the cognitive,
affective, and behavioral responses of the body. Eye‐tracking and electrooculography …

Fatigue in aviation: safety risks, preventive strategies and pharmacological interventions

YQ Wingelaar-Jagt, TT Wingelaar, WJ Riedel… - Frontiers in …, 2021 - frontiersin.org
Fatigue poses an important safety risk to civil and military aviation. In addition to decreasing
performance in-flight (chronic) fatigue has negative long-term health effects. Possible …