Verification of physiological or behavioral evaluation measures suitable for predicting drivers' drowsiness

Atsuo Murata, Taiga Koriyama, Yutaka Ohkubo, Makoto Moriwaka, Takehito Hayami

Research output: Contribution to conferencePaper

7 Citations (Scopus)

Abstract

Although many studies used psychophysiological measures such as blink, EEG, saccade, and heart rate to assess fatigue or drowsiness, no measures alone can be used reliably to assess drowsiness. The results of these studies must be integrated and effectively applied to the prevention of drowsy driving. To prevent drivers from driving under drowsy state and causing a disastrous traffic accident, not the gross tendency of reduced arousal level but the more accurate identification of timing when the drowsy state occurs is necessary. The aim of this study was to verify the effectiveness of physiological or behavioral evaluation measures suitable for predicting drivers' drowsiness 20s before drowsy driving situations occur. Drowsy states were predicted by applying multinomial logistic regression analysis to biological information. Thus, we made an attempt to establish a method to properly and timely warn drivers of drowsy state by EEG, heart rate variability, standard deviation of quantity of pedal operation, and mean tracking error.

Original languageEnglish
Pages1766-1771
Number of pages6
Publication statusPublished - Jan 1 2013
Event2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013 - Nagoya, Japan
Duration: Sep 14 2013Sep 17 2013

Other

Other2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013
CountryJapan
CityNagoya
Period9/14/139/17/13

Keywords

  • Behavioral measure
  • Drowsiness
  • Logistic regression model
  • Physiological measure
  • Traffic accident

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    Murata, A., Koriyama, T., Ohkubo, Y., Moriwaka, M., & Hayami, T. (2013). Verification of physiological or behavioral evaluation measures suitable for predicting drivers' drowsiness. 1766-1771. Paper presented at 2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013, Nagoya, Japan.