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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages255-264
Number of pages10
Volume9174
ISBN (Print)9783319203720
DOIs
Publication statusPublished - 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)03029743
ISSN (Electronic)16113349

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

Fingerprint

Trend Analysis
Accidents
Driver
Predict
Crash
Experimental Data
Angle
Dependent

Keywords

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

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Murata, A., Fukuda, K., & Yoshida, K. (2015). An attempt to predict driver’s drowsiness using trend analysis of behavioral measures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9174, 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

An attempt to predict driver’s drowsiness using trend analysis of behavioral measures. / Murata, Atsuo; Fukuda, Kohei; Yoshida, Koh.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9174 Springer Verlag, 2015. p. 255-264 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9174).

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

Murata, A, Fukuda, K & Yoshida, K 2015, An attempt to predict driver’s drowsiness using trend analysis of behavioral measures. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 9174, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9174, Springer Verlag, pp. 255-264, 12th 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, 8/2/15. https://doi.org/10.1007/978-3-319-20373-7_24
Murata A, Fukuda K, Yoshida K. An attempt to predict driver’s drowsiness using trend analysis of behavioral measures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9174. Springer Verlag. 2015. p. 255-264. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-20373-7_24
Murata, Atsuo ; Fukuda, Kohei ; Yoshida, Koh. / An attempt to predict driver’s drowsiness using trend analysis of behavioral measures. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9174 Springer Verlag, 2015. pp. 255-264 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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