Method of Drowsy State Detection for Driver Monitoring Function
Keywords:
Psychosomatic state, driver monitoring, onset of drowsiness, blinking duration, heart rate variability.Abstract
Driver’s psychosomatic state adaptive driving
support safety system is highly expected to reduce the number
of traffic accidents. Drowsiness is thought as crucial risk factor
which may result in severer traffic accidents. When a driver is
fallen in a drowsy state, it influence may appear in fluctuating
of heart beat and eye movement. Heart rate was acquired from
Electrocardiogram (ECG). Then heart rate variability (HRV)
was calculated from ECG waveform using the maximum
entropy method. CCD camera with infrared ray was introduced
to capture gaze direction and eyelid closure. This study took a
hypothesis that simultaneous measurement of both heart rate
variability (HRV) and blinking duration may be useful means
to detect onset of drowsiness in real time. The method to
estimate onset of drowsiness was proposed, which function may
be incorporated into driver’s psychosomatic state adoptive
driving support safety system for the reduction of traffic
accidents.
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