Classification of blink waveforms toward the assessment of driver's arousal levels - an EOG approach and the correlation with physiological measures

Authors:
Mieko Ohsuga;Yoshiyuki Kamakura;Yumiko Inoue;Yoshihiro Noguchi;Roongroj Nopsuwanchai
Affiliations:
Faculty of Engineering, Osaka Institute of Technology, Asahi-ku, Osaka-city, Osaka, Japan;Faculty of Engineering, Osaka Institute of Technology, Asahi-ku, Osaka-city, Osaka, Japan and Faculty of Information Science and Technology, Osaka Institute of Technology, Hirakata-city, Osaka, Ja ...;Faculty of Information Science and Technology, Osaka Institute of Technology, Hirakata-city, Osaka, Japan;Information Technology Laboratory, Asahi Kasei Corporation, Atsugi-city, Kanagawa, Japan;Information Technology Laboratory, Asahi Kasei Corporation, Atsugi-city, Kanagawa, Japan
Venue:
EPCE'07 Proceedings of the 7th international conference on Engineering psychology and cognitive ergonomics
Year:
2007

Citing 1
Cited 3

Classification of blink waveforms towards the assessment of driver's arousal level - an approach for HMM based classification from blinking video sequence

EPCE'07 Proceedings of the 7th international conference on Engineering psychology and cognitive ergonomics

The Assessment of Driver's Arousal States from the Classification of Eye-Blink Patterns

EPCE '09 Proceedings of the 8th International Conference on Engineering Psychology and Cognitive Ergonomics: Held as Part of HCI International 2009
Classification of blink waveforms towards the assessment of driver's arousal level - an approach for HMM based classification from blinking video sequence

EPCE'07 Proceedings of the 7th international conference on Engineering psychology and cognitive ergonomics
Estimation of driver's arousal state using multi-dimensional physiological indices

EPCE'11 Proceedings of the 9th international conference on Engineering psychology and cognitive ergonomics

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Abstract

The goal of this research is to develop a method to assess the arousal states using facial images of drivers. This paper refers the preparatory study on the classification of blink waveforms obtained from electo-oculogram. The transitions of the distribution of classified blinks during a simulated driving task were studied for around fifty volunteers of both genders and a wide range of generations. It was shown that the blink class ratio supposed to be under the influence of not only the subject's drowsiness levels but also by his/her behavior to battle with drowsiness. The correlation with multidimensional physiological indices was also discussed.