A critical review of the psychophysiology of driver fatigue
- Published: Biological Psychology, 55 (3), 173-194 (2001)
- Authors: Lal, S.K. and Craig, A.
- Date Added: 28 Dec 2013
- Last Update: 28 Dec 2013
Utilize EEG changes during fatigue for development of fatigue countermeasure software and to test the ability of such software in detecting fatigue.
On-line monitoring of physiological signals while driving. EEG was obtained in twenty truck drivers during a driver simulator task till subjects fatigued. Changes found in delta, theta, alpha and beta activity were used to develop algorithms for the software.
EEG delta increased during early fatigue in professionals more so than in non-professionals.
Theta and alpha increased in professionals only.
During medium fatigue, theta increased in both groups.
Alpha increased in professional drivers in both the medium and extreme phases and in non-professionals in the extreme phase, while beta increased most in the medium phase.
Fatigue neurophysiology, physiological signals, countermeasures, software, simulator tasks, truck drivers, delta, theta, alpha, beta
This was not a sleep deprivation study so subjects were not sleep deprived prior to the study. The results of this study are discussed in light of driver fatigue management and developing a fatigue countermeasure device.