• DocumentCode
    1833301
  • Title

    Oscitancy tracking using Brain-Computer Interface

  • Author

    Kumar, S.V.K. ; Julian, Anitha

  • Author_Institution
    TIFAC-CORE in Pervasive Comput. Technol., Velammal Eng. Coll., Chennai, India
  • fYear
    2012
  • fDate
    1-2 March 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Brain-Computer Interface (BCI) system is an advanced and emerging system in the field of computer applications. Every day road accidents are at an increase due to drunken driving and sleepiness. This paper proposes an EEG based BCI system to sense the Oscitancy which can be due to drunkenness and sleepiness. The proposed work consists of two modules, the sensor and microprocessor module and an alarm device module. The advantages of the system are low power consumption and small volume. So, it can be applicable in real-time driving conditions.
  • Keywords
    brain-computer interfaces; driver information systems; electroencephalography; EEG based BCI system; alarm device module; brain-computer interface system; drunken driving; microprocessor module; oscitancy tracking; road accidents; sleepiness; Accidents; Brain modeling; Electrodes; Electroencephalography; Humans; Microprocessors; Vehicles; Brain-Computer Interface (BCI); Electroencephalograph (EEG); Oscitancy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical, Electronics and Computer Science (SCEECS), 2012 IEEE Students' Conference on
  • Conference_Location
    Bhopal
  • Print_ISBN
    978-1-4673-1516-6
  • Type

    conf

  • DOI
    10.1109/SCEECS.2012.6184783
  • Filename
    6184783