An attempt to predict driver’s drowsiness using trend analysis of behavioral measures

Atsuo Murata, Kohei Fukuda, Koh Yoshida

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The behavioral measures such as neck vending angle and tracking error in steering maneuvering during the simulated driving task was recorded under the low arousal condition of all participants who stayed up all night without sleeping. We conducted trend analysis where time and the behavioral measure of drowsiness corresponded to an independent variable and a dependent variable, respectively. Applying the trend analysis technique to the experimental data of participants from whom the point in time when the participant would have encountered a crucial accident if he or she continued driving a vehicle (virtual accident), we proposed a method to predict in advance (before virtual accident occurs) the point in time with high risk of crash By applying the proposed trend analysis method to behavioral measures, we found that the proposed approach could identify the point in time with high risk of crash and eventually predict in advance the symptom of the occurrence of point in time of virtual accident.

Original languageEnglish
Title of host publicationEngineering Psychology and Cognitive Ergonomics - 12th International Conference, EPCE 2015 Held as Part of HCI International 2015, Proceedings
EditorsDon Harris
PublisherSpringer Verlag
Pages255-264
Number of pages10
ISBN (Print)9783319203720
DOIs
Publication statusPublished - Jan 1 2015
Event12th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015 - Los Angeles, United States
Duration: Aug 2 2015Aug 7 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9174
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015
CountryUnited States
CityLos Angeles
Period8/2/158/7/15

Keywords

  • Behavioral measure
  • Crash
  • Drowsiness prediction
  • Trend analysis
  • Virtual accident

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Murata, A., Fukuda, K., & Yoshida, K. (2015). An attempt to predict driver’s drowsiness using trend analysis of behavioral measures. In D. Harris (Ed.), Engineering Psychology and Cognitive Ergonomics - 12th International Conference, EPCE 2015 Held as Part of HCI International 2015, Proceedings (pp. 255-264). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9174). Springer Verlag. https://doi.org/10.1007/978-3-319-20373-7_24