Takayuki Yoshizumi

Learning to Estimate Driver Drowsiness from Car Acceleration Sensors Using Weakly Labeled Data

This paper addresses the learning task of estimating driver drowsiness from the signals of car acceleration sensors. Since even drivers themselves cannot perceive their own drowsiness in a timely manner unless they use burdensome invasive sensors, obtaining labeled training data for each timestamp i…