Effect of pattern recognition features on detection for driver´s cognitive distraction

Constituent technology of a driver monitor system using information of a driver´s psychosomatic states is expected to create driver´s states adaptive drive supporting system for the reduction of traffic accidents. In this study we identified a driver´s distraction as one of major psychosomatic states which may result in a traffic accident by using Internet based survey on a questionnaire basis. Then we aimed at creating a methodology in use for detecting driver´s cognitive distraction by means of using the AdaBoost which is capable of rapid and accurate classification. Furthermore we verified an effect of pattern recognition features such as interval between heart R-waves (hereafter, heart rate RRI) from an ECG (electrocardiogram), pupil diameter, and, gaze angle and head rotation angle.