Technologies for the Monitoring and Prevention of Driver Fatigue
Author(s) -
Anneke Heitmann,
Rainer Guttkuhn,
Acacia Aguirre,
U. Trutschel,
Martin C. MooreEde
Publication year - 2001
Language(s) - English
Resource type - Conference proceedings
DOI - 10.17077/drivingassessment.1013
Subject(s) - alertness , pupillometry , computer science , testbed , simulation , pupil , psychology , computer network , neuroscience , psychiatry
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 simple 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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