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Detecting Driver Mental Fatigue Based on EEG Alpha Power Changes during Simulated Driving.

Faramarz Gharagozlou¹, Gebraeil Nasl Saraji¹, Adel Mazloumi¹

¹Dept. of Occupational Health, School of Public Health, Tehran University of Medical Sciences, Iran.

Iranian Journal of Public Health

|January 27, 2016

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Increased EEG alpha power in drivers indicates reduced alertness and the onset of mental fatigue, correlating with subjective fatigue scores. This suggests alpha power is a potential indicator for driver fatigue countermeasures.

Area of Science:

Neuroscience
Transportation Safety
Human Factors

Background:

Driver fatigue is a significant factor in transportation safety, contributing to a substantial percentage of road accidents.
Understanding the physiological markers of fatigue is crucial for developing effective safety interventions.

Purpose of the Study:

To investigate changes in electroencephalogram (EEG) alpha power in partially sleep-deprived drivers during a simulated driving task.
To correlate EEG findings with subjective and observational measures of fatigue.

Main Methods:

Twelve healthy male drivers underwent an overnight study involving simulated driving on a virtual reality platform.
Continuous EEG and electrooculogram (EOG) data were recorded, alongside video analysis of driver behavior and subjective fatigue assessments (Fatigue Visual Analog Scale - F-VAS).

Keywords:

Driver mental fatigue EEG alpha power F-VAS Video rating

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Absolute and relative alpha powers were analyzed using power spectrum density and fast Fourier transform (FFT).

Main Results:

A significant increase in absolute alpha power was observed in the latter stages of driving (P = 0.006).
Subjective fatigue scores (F-VAS) also significantly increased towards the end of the driving period (P = 0.001).
Video ratings of driver behavior corroborated the subjective fatigue self-assessments.

Conclusions:

Elevated alpha power in the final driving section signifies decreased alertness and attention, indicative of emerging mental fatigue.
EEG alpha power variations show promise as a reliable indicator of driver mental fatigue.
Further research is recommended to explore the application of alpha power variations in driver fatigue countermeasure devices.