Conference Proceeding
Authors: Anneke Heitmann (Circadian Technologies, Inc., Lexington, MA) , Rainer Guttkuhn (Circadian Technologies, Inc., Lexington, MA) , Acacia Aguirre (Circadian Technologies, Inc., Lexington, MA) , Udo Trutschel (Circadian Technologies, Inc., Lexington, MA) , Martin Moore-Ede (Circadian Technologies, Inc., Lexington, MA)
A series of driving simulation pilot studies on various technologies for alertness monitoring (head position sensor, eye-gaze system), fitness-for-duty testing (two pupil-based systems), and alertness promotion (in-seat vibration system) has been conducted in Circadian Technologies’ Alertness Testbed. The results indicate that, all tested technologies show promise for monitoring/testing or preventing driver fatigue, respectively. However, particularly for fatigue monitoring, no single measure alone may be sensitive and reliable enough to quantify driver fatigue. Since alertness is a complex phenomenon, a multi-parametric approach needs to be used. Such a multi-sensor approach imposes challenges for online data interpretation. We suggest using a neural-fuzzy hybrid system for the automatic assessment of complex data streams for driver fatigue. The final system output can then be used to trigger the activation of alertness countermeasures.
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How to Cite: Heitmann, A. , Guttkuhn, R. , Aguirre, A. , Trutschel, U. & Moore-Ede, M. (2001) “Technologies for the Monitoring and Prevention of Driver Fatigue”, Driving Assessment Conference. 1(2001). doi: https://doi.org/10.17077/drivingassessment.1013