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.
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Ohsuga, M., Kamakura, Y., Inoue, Y., Noguchi, Y., Nopsuwanchai, R. (2007). Classification of Blink Waveforms Toward the Assessment of Driver’s Arousal Levels - An EOG Approach and the Correlation with Physiological Measures. In: Harris, D. (eds) Engineering Psychology and Cognitive Ergonomics. EPCE 2007. Lecture Notes in Computer Science(), vol 4562. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73331-7_86
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DOI: https://doi.org/10.1007/978-3-540-73331-7_86
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73330-0
Online ISBN: 978-3-540-73331-7
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