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Estimation of Driver's Arousal State Using Multi-Dimensional Physiological Indices
Published May 19, 2010 by Society of Automotive Engineers of Japan in Japan
Event: JSAE Spring Conference
We proposed new criteria for assessment of driver's arousal states defined by the combination of "arousal level" and the presence of "effort" to wake up. Changes depending on the arousal states in multi-dimensional physiological indices (i.e., blink categories, skin conductance, EEG alpha wave, respiration, heart rate variability) were studied. Multiple linear regression analysis was also executed using one of the face scores ("arousal level" or "effort") as dependent variables and the physiological indices as explanatory variables. Relatively high multiple correlation coefficients were obtained for data set with low arousal states. However, the number and combination of selected indices showed great differences between individuals. To obtain common estimate equations is an issue in future.