DocumentCode :
2367288
Title :
Detecting drowsiness while driving by measuring eye movement - a pilot study
Author :
Hayami, Takchito ; Matsunaga, Katsuya ; Shidoji, Kazunori ; Matsuki, Yuji
Author_Institution :
Kyushu Univ., Fukuoka, Japan
fYear :
2002
fDate :
2002
Firstpage :
156
Lastpage :
161
Abstract :
A function to warn a drowsy driver is a prospective device to be included in intelligent transportation systems. We compared the eye closure rate (PERCLOS) with the vertical eye movement frequency between wakeful and drowsy states of drivers who were driving a car in a driving simulator. Three subjects participated in the experiment. In the drowsy state condition, both measures showed high values in frequency, which was significant enough to distinguish between the two states with a threshold. The threshold level, which can distinguish the two states, is defined as the rate at the cross point of the curves of two possibility density functions made by the frequency of the rates of the two measures at the two states. The distinction error was evaluated for three analysis durations. As a result of the analysis, it was found that the better measure was different for each subject.
Keywords :
automobiles; computer vision; eye; pattern classification; safety systems; traffic engineering computing; blink; drowsiness detection; drowsy driver detection; eye closure rate; eye movements; image analysis; intelligent transportation systems; sleep onset; threshold level; Accidents; Alarm systems; Computational modeling; Frequency; Image analysis; Intelligent systems; Large Hadron Collider; Light emitting diodes; Motion measurement; Sleep;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems, 2002. Proceedings. The IEEE 5th International Conference on
Print_ISBN :
0-7803-7389-8
Type :
conf
DOI :
10.1109/ITSC.2002.1041206
Filename :
1041206
Link To Document :
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