Human Emotional State Analysis during Driving Simulation Experiment Using Bio-Emotion Estimation Method

Midori Sugaya, Issei Watanabe, Reiji Yoshida, Feng Chen

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

1 Citation (Scopus)

Abstract

There are many factors that cause accidents while driving a car. Among them, one factor is a negative emotional state such as 'anger', 'frustration', or 'irritation' [1]. To detect these negative emotional states, the are several studies and commercial driving systems that have been presented as the driver monitoring system (DMS). These approaches, that mainly depend on image processing and natural language analysis uses the information that expressed information that could be arbitrarily changed. Alternatively, the emotional analysis method using physiological responses that would not be arbitrarily changed and is objective. In this study, we propose the way of estimating emotion named the Bio-emotion Estimate Method (BeEM) that can identify emotions by applying the brain waves and heart rate estimated using Russell's circular model. We developed a driving simulator that performs emotional analysis and analyzed emotional reactions to multiple incidents using values estimated from this biological information. Then evaluate and compare with the BeEM and iiSA which is a emotion judgment indicator used during driving. The result shows that similar tendency has found in the proposed method and those obtained by the existing emotion evaluation method, suggesting the applicability to DMS of using biological emotion information.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018
EditorsClaudio Demartini, Sorel Reisman, Ling Liu, Edmundo Tovar, Hiroki Takakura, Ji-Jiang Yang, Chung-Horng Lung, Sheikh Iqbal Ahamed, Kamrul Hasan, Thomas Conte, Motonori Nakamura, Zhiyong Zhang, Toyokazu Akiyama, William Claycomb, Stelvio Cimato
PublisherIEEE Computer Society
Pages589-594
Number of pages6
ISBN (Electronic)9781538626665
DOIs
Publication statusPublished - 2018 Jun 8
Event42nd IEEE Computer Software and Applications Conference, COMPSAC 2018 - Tokyo, Japan
Duration: 2018 Jul 232018 Jul 27

Publication series

NameProceedings - International Computer Software and Applications Conference
Volume2
ISSN (Print)0730-3157

Other

Other42nd IEEE Computer Software and Applications Conference, COMPSAC 2018
CountryJapan
CityTokyo
Period18/7/2318/7/27

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Keywords

  • Bio emotion estimation method
  • Biological information
  • Brainwave
  • DMS
  • Driving
  • Emotion estimation
  • Feeling

ASJC Scopus subject areas

  • Software
  • Computer Science Applications

Cite this

Sugaya, M., Watanabe, I., Yoshida, R., & Chen, F. (2018). Human Emotional State Analysis during Driving Simulation Experiment Using Bio-Emotion Estimation Method. In C. Demartini, S. Reisman, L. Liu, E. Tovar, H. Takakura, J-J. Yang, C-H. Lung, S. I. Ahamed, K. Hasan, T. Conte, M. Nakamura, Z. Zhang, T. Akiyama, W. Claycomb, & S. Cimato (Eds.), Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018 (pp. 589-594). [8377929] (Proceedings - International Computer Software and Applications Conference; Vol. 2). IEEE Computer Society. https://doi.org/10.1109/COMPSAC.2018.10301