Estimation of driver's attentive state to visual objects outside the vehicle when driver is in low arousal level by using lambda response of eye-fixation-related potentials

Ken'ichi Machii, Tatsuru Daimon, Yoshihisa Terada

Research output: Contribution to conferencePaper

Abstract

In order to design driving support systems that adapt to the driver's states, this paper investigates the relationship between driver's arousal level and eye-fixation-related potential (EFRP) while driving and the possibility as a metric to estimate the driver's state. The experiment which required participants to perform monotonous driving task was conducted using motion-based driving simulator. During the experiment, electroencephalogram (EEG) and electrooculogram (EOG) were measured. Their arousal levels were evaluated based on subjective questionnaires, alpha wave power of EEG and lateral deviation of their car position. The results indicate that the peak amplitude of lambda response of EFRP decreases when driver's arousal level decreases and that the decrease of the peak amplitude of lambda response also tends to appear earlier than the increase of alpha wave power. These results imply that EFRP would be a usable metric to estimate unsafe driver's states.

Original languageEnglish
PagesAP-00071
Publication statusPublished - 2012 Jan 1
Event19th Intelligent Transport Systems World Congress, ITS 2012 - Vienna, Austria
Duration: 2012 Oct 222012 Oct 26

Other

Other19th Intelligent Transport Systems World Congress, ITS 2012
CountryAustria
CityVienna
Period12/10/2212/10/26

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Keywords

  • Arousal level
  • Driver distraction
  • Driver's attentive state
  • Eye-fixation-related potential

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Transportation

Cite this

Machii, K., Daimon, T., & Terada, Y. (2012). Estimation of driver's attentive state to visual objects outside the vehicle when driver is in low arousal level by using lambda response of eye-fixation-related potentials. AP-00071. Paper presented at 19th Intelligent Transport Systems World Congress, ITS 2012, Vienna, Austria.