Estimation of Driver's Longitudinal Intention for the Preceding Car Using EEG

脳波を用いた前方車両追従時における ドライバの加減速意図の推定手法の検討

The interaction between human and vehicle has been researched to reduce the traffic accident in Japan. In the research of driver assistance system, more driver friendly assistance system has been researched using the information of driver and vehicle. This system requires to achieve a better relationship between human and vehicle. In addition, it is important to find a method to determine a driver's operational intention. Therefore, the authors have focused on the brain activities in the biological information. The time frequency analysis such as FFT has been major method in the traditional decomposition of the electroencephalogram (EEG). However, these conventional methods can only use two-dimensional data. In their previous research, the authors investigated that the driver’s EEG at the preceding car avoidance maneuver was decomposed by parallel factor analysis (PARAFAC), and they investigated the feature factor of longitudinal behavior for recognize and judgment from that decomposition result. PARAFAC analysis has known as a multi-channel EEG analysis of multi-dimensional data. In the previous research, the authors investigated the driver’s EEG of during longitudinal operation using PARAFAC. Consequently, all subjects have two common factors of the frequency component which exist in the 5-10 Hz and 8-13 Hz region. Those factors were changed by the driver’s mental state during visual recognition and judgment. In this paper, the authors estimated the driver’s intention from a driver’s EEG using source current distribution estimation with Hierarchical Bayesian method and the sparse logistic regression. From the estimation results, the estimation accuracy of driver’s intention was higher than about 70 % of two subjects’ in the longitudinal operation.本報告では，ドライビング・シミュレータを用いて前方車両追従時の加速・減速行動におけるドライバの脳波計測実験を行い，加速・減速の操作意図を脳波を脳内電流源推定手法とスパースロジスティック回帰を用いて推定した結果について報告する．

• Record URL:
  • https://doi.org/10.11351/jsaeronbun.48.1127
• Record URL:
  • http://scholar.google.com/scholar_lookup?title=Estimation%20of%20Driver's%20Longitudinal%20Intention%20for%20the%20Preceding%20Car%20Using%20EEG&author=T.%20Ikenishi&author=T.%20Kamada&publication_year=2017
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/02878321
• Authors:
  • Ikenishi, Toshihito
  • Kamada, Takayoshi
• Publication Date: 2017-9

Language

• English
• Japanese

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 1127-1134
• Serial:
  • Transactions of Society of Automotive Engineers of Japan
  • Volume: 48
  • Issue Number: 5
  • Publisher: Society of Automotive Engineers of Japan
  • ISSN: 0287-8321
  • EISSN: 1883-0811
  • Serial URL: https://www.jstage.jst.go.jp/browse/jsaeronbun
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Attitudes; Automobile drivers; Automobile driving; Bayes' theorem; Driver support systems; Driver vehicle interfaces; Electroencephalography; Estimating; Logistic regression analysis
• Geographic Terms: Japan
• Subject Areas: Highways; Safety and Human Factors; Vehicles and Equipment;

Filing Info

• Accession Number: 01676656
• Record Type: Publication
• Source Agency: Japan Science and Technology Agency (JST)
• Files: TRIS, JSTAGE
• Created Date: Jul 26 2018 2:42PM