Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness.

By G. Borghini, L. Astolfi, G. Vecchiato, D. Mattia, F. Babiloni. Neuroscience and Biobehavioral Reviews, 2014

1,279 citations recorded by the source corpus.

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Evidence of Online Performance Deterioration in User Sessions on Reddit (2016, background): “Performance deterioration following a period of sustained mental eﬀort has been documented in settings that include student performance [1], driving [2], data entry [3], and exerting self-control [4].”
EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation (2019, positive): “Particularly, several studies have given great ideas to distinguish subjects’ alert and fatigue states [14].”
Driver Fatigue Detection Systems: A Review (2019, result): “Even though the results were promising, the number of participants were not mentioned in their experimentation hence, accuracy for users is compromised [75].”
Review of eye-related measures of drivers’ mental workload (2015, background): “[7] reviewed the literature related to the neurophysiological signal measurements of mental workload, fatigue, and drowsiness of aircraft pilots and car drivers.”
Neural insights on expert surgeons’ mental workload during live robotic surgeries (2025, unknown): “This correlation was most significant during the critical phase and is in line with the established behavior of frontal theta band power under increased mental workload 16,44 .”