• DocumentCode
    3728057
  • Title

    Detection of Braking Intention during Simulated Driving Based on EEG Analysis: Online Study

  • Author

    Jeong-Woo Kim;Il-Hwa Kim;Seong-Whan Lee

  • Author_Institution
    Dept. of Brain &
  • fYear
    2015
  • Firstpage
    887
  • Lastpage
    891
  • Abstract
    Diversified approaches for development of braking assistant system have been employed to assure the safety of driver and pedestrian. Recently, neurophysiological studies related to driver´s mental state during driving under specific conditions have been a growing interest for development of driving assistant system based on brain-computer interface (BCI). In this article, the feasibility of online braking assistant system which could detect driver´s braking intention based on BCI is investigated. The results of the online experiment verified that driver´s braking intention could be robustly detected based on neurophysiological characteristics proposed by previous study. The performance of the online experiment was evaluated based on reaction times for emergency situations and detection accuracy.
  • Keywords
    "Vehicles","Electroencephalography","Feature extraction","Brakes","Electromyography","Safety","Accidents"
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/SMC.2015.163
  • Filename
    7379295