• DocumentCode
    3206596
  • Title

    Portable, wireless drowsiness-detection system

  • Author

    Chae, Moo Sung

  • Author_Institution
    Dept. of Electr. Eng., Univ. of California at Santa Cruz, Santa Cruz, CA, USA
  • fYear
    2012
  • fDate
    5-8 Aug. 2012
  • Firstpage
    762
  • Lastpage
    765
  • Abstract
    This paper presents an EEG-based portable drowsiness-detection system for vehicle drivers. The system has a wireless recording unit without tether wires and employs a fast ICA-based detection algorithm to separate psychophysiological signals from motion artifacts of the driver. The system is implemented and tested on both benchtop and human subjects. The experimental results show that the proposed system can detect a driver´s drowsiness with minimal inconvenience to the driver.
  • Keywords
    biomedical equipment; electroencephalography; independent component analysis; medical signal detection; medical signal processing; portable instruments; source separation; EEG-based portable drowsiness-detection system; fast ICA-based detection algorithm; motion artifacts; portable wireless drowsiness-detection system; psychophysiological signals; vehicle drivers; wireless recording unit; Electrodes; Electroencephalography; Frequency shift keying; Humans; Receivers; Vehicles; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (MWSCAS), 2012 IEEE 55th International Midwest Symposium on
  • Conference_Location
    Boise, ID
  • ISSN
    1548-3746
  • Print_ISBN
    978-1-4673-2526-4
  • Electronic_ISBN
    1548-3746
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2012.6292132
  • Filename
    6292132