论文信息 - Study on effect of adding pupil diameter as recognition features for driver's cognitive distraction detection

Study on effect of adding pupil diameter as recognition features for driver's cognitive distraction detection

Driver states adaptive drive supporting system is highly expected in use for the reduction of the number of traffic accidents. This study aimed at creating a constituent technology for detecting driver's cognitive distraction, which may be one of major factors of driver's psychosomatic states just before a traffic accident. We reproduced driver's cognitive distraction by means of imposing cognitive loads such as arithmetic and conversation to a subject on a driving simulator. Besides gaze angle, head rotation angle, and interval between heart R-waves (hereafter, heart rate RRI) from an ECG (electrocardiogram), we added pupil diameter of a subject as recognition features for pattern recognition. We established high accuracy and rapid detection methodology for driver's cognitive distraction by adopting the AdaBoost.

[1] Koji Oguri,et al. Analysis of driver behaviour based on experiences of road traffic incidents investigated by means of questionnaires for the reduction of road traffic accidents , 2008 .

[2] Johan Engström,et al. Sensitivity of eye-movement measures to in-vehicle task difficulty , 2005 .

[3] D. Kahneman,et al. Pupillary, heart rate, and skin resistance changes during a mental task. , 1969, Journal of experimental psychology.

[4] J R Treat,et al. TRI-LEVEL STUDY OF THE CAUSES OF TRAFFIC ACCIDENTS. VOLUME II: SPECIAL ANALYSES , 1977 .

[5] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.

[6] Johan Engström,et al. Effects of visual and cognitive load in real and simulated motorway driving , 2005 .

[7] E. Hartman,et al. Driver vision requirements , 1970 .

[8] Gustav Markkula,et al. Driver Distraction Detection with a Camera Vision System , 2007, 2007 IEEE International Conference on Image Processing.

[9] Masahiro MIYAJI,et al. Analysis of Driver Behavior based on Experiences of Road Traffic Incidents investigated by means of Questionnaires for the Reduction of Road Traffic Accidents , 2008 .