Evaluation of drowsiness of driver based on change of sitting pressure center

Atsuo Murata, Yohei Urakami, Taiga Koriyama, Masahiro Ikeda, Takehito Hayami

Research output: Contribution to conferencePaperpeer-review

7 Citations (Scopus)

Abstract

Recently, in Japan, the percentage of the death toll in traffic accidents due to drowsy driving is the most dominant in all death tolls in traffic accidents. Therefore, it is essential for automotive manufacturers to develop a warning system of drowsy driving. A lot of studies are conducted to prevent traffic accident due to drowsy driving, and make an attempt to assess drowsiness by physiological measures such as EEG. However, it is difficult to use such equipment for predicting drowsiness, because it is difficult to equip an automotive cockpit with such equipment due to expensiveness and measurement noise. As more convenient measure used to predict drowsiness, it was examined whether the neck bending angle and the sitting pressure distribution could be used to discriminate the arousal level. The effectiveness of these convenient measures was experimentally assessed. In order to prevent traffic accidents due to drowsy driving, an attempt was made to predict drowsiness (low arousal state) using the change of neck bending angle and sitting pressure distribution. As a result, these measures were found to be useful for evaluating arousal level and predicting arousal level in advance.

Original languageEnglish
Pages1760-1765
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: Sept 14 2013Sept 17 2013

Other

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

Keywords

  • Cop (center of pressure)
  • Its
  • Neck bending angle
  • Prediction of drowsiness
  • Sitting pressure distribution

ASJC Scopus subject areas

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

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