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정경호(K.H.Chong),김법중(B.J.Kim),김동욱(D.W.Kim),김남균(N.G.Kim) 한국자동차공학회 1996 한국자동차공학회 춘 추계 학술대회 논문집 Vol.1996 No.6_2
In this study, we measured the driver's drowsiness quantitively which is the one of the driver's low vigilance states. We used a computer vision method to detect the driver's drowsiness<br/> from frontal facial image. For the measurement parameters of drowsiness detection, we considered the eye blink duration and yawning duration in a normal and drowsy state. We also<br/> measured the movements of a driver's head and shoulders to identify a cause of driver's drowsiness in the highway and street. From the results, We concluded that the eye blink duration<br/> was more useful factor than eye blink number for drowsiness detection and also confirmed that<br/> the driver's monotonous movement might be one of the reasons for drowsiness.<br/>