Driver state monitor from DELPHI

We present an automotive-grade, real-time, vision-based driver state monitor. Upon detecting and tracking the driver's facial features, the system analyzes eye-closures and head pose to infer his/her fatigue or distraction. This information is used to warn the driver and to modulate the actions...

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Bibliographic Details
Published in2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 2; pp. 1206 - 1207 vol. 2
Main Authors Edenborough, N., Smith, M., Wilhelm, A., Witt, G., Yoder, E., Zhang, H., Hammoud, R., Harbach, A., Ingold, A., Kisacanin, B., Malawey, P., Newman, T., Scharenbroch, G., Skiver, S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Accidents
Air safety
Automotive engineering
Belts
Computer vision
Driver circuits
Fatigue
Human factors
Monitoring
Road safety
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Summary:We present an automotive-grade, real-time, vision-based driver state monitor. Upon detecting and tracking the driver's facial features, the system analyzes eye-closures and head pose to infer his/her fatigue or distraction. This information is used to warn the driver and to modulate the actions of other safety systems. The purpose of this monitor is to increase road safety by preventing drivers from falling asleep or from being overly distracted, and to improve the effectiveness of other safety systems.
ISBN:0769523722
9780769523729
ISSN:1063-6919
1063-6919
DOI:10.1109/CVPR.2005.135