Detecting Driver’s Drowsiness Level with Simple Predetermined Initial State
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Wednesday, October 19, 2011: 8:30 AM
S320D (Orange County Convention Center )
Description of Paper:
Heartbeat fluctuation analysis is one of the best methods for detecting drowsiness. We focused on high frequency components related to parasympathetic conditions and proposed two indexes estimation method using peak values of frequency spectrum components. In a driving simulator experiment, our drowsiness detection system performed at about 80% accuracy compared with the method by NEDO that estimates the drowsiness level. In this paper, we introduce how to automatically set a drowsiness scale which is individually different so as to utilize our method in actual vehicles.