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Affordable Visual Driver Monitoring System for Fatigue and Monotony

Brandt, Thomas, Stemmer, Ralf, & Rakotonirainy, Andry (2004) Affordable Visual Driver Monitoring System for Fatigue and Monotony. In 2004 IEEE International Conference on Systems, Man and Cybernetics, 10-13 October 2004, The Hague, the Netherlands.

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Abstract

In this contribution we present a visual driver surveillance system to monitor the driver's head motion as well as the eye blink patterns. Based on these measured features the system is able to detect symptoms of fatigue and monotony. The main advantages of the presented system in contrast to existing ones is the usage of standard equipment to achieve a good cost-performance ratio, fast computation time, the possibility of measurements in darkness and the consideration of monotony. The image analysis is realized in a coarse-to-fine architecture. At first the driver's face is detected which is based on a boosted cascade of Haar wavelets. Then the eyes are searched in the face and occurring eye blinks measured by analyzing the optical flow of the eyes' region. The performance of the system was tested successfully under ideal and natural conditions.

Impact and interest:

23 citations in Scopus
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2 citations in Web of Science®

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ID Code: 9266
Item Type: Conference Paper
DOI: 10.1109/ICSMC.2004.1401415
ISBN: 0780385667
ISSN: 1062-922X
Subjects: Australian and New Zealand Standard Research Classification > PSYCHOLOGY AND COGNITIVE SCIENCES (170000) > PSYCHOLOGY (170100) > Sensory Processes Perception and Performance (170112)
Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > PUBLIC HEALTH AND HEALTH SERVICES (111700) > Preventive Medicine (111716)
Australian and New Zealand Standard Research Classification > COMMERCE MANAGEMENT TOURISM AND SERVICES (150000) > TRANSPORTATION AND FREIGHT SERVICES (150700) > Road Transportation and Freight Services (150703)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)
Divisions: Current > Research Centres > Centre for Accident Research & Road Safety - Qld (CARRS-Q)
Current > QUT Faculties and Divisions > Faculty of Health
Copyright Owner: Copyright 2004 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 03 Sep 2007
Last Modified: 29 Feb 2012 23:28

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