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General Information
    • ISSN: 1793-8236 (Online)
    • Abbreviated Title Int. J. Eng. Technol.
    • Frequency:  Quarterly 
    • DOI: 10.7763/IJET
    • APC: 500 USD
    • Managing Editor: Ms. Isa Yuan 
    • Abstracting/ Indexing:  CNKI,  Google Scholar, Crossref, EBSCO  etc.
    • E-mail: ijet_Editor@126.com
IJET 2012 Vol.4(3): 340-343
doi: 10.7763/IJET.2012.V4.378

The EEG Based Driver Safety System

E. Malar , M. Gauthaam , M. Kalaikamal , S. Muthukrishnan

  • the Dept. of biomedical engg, PSG college of technology, Coimbatore-04, Tamilnadu, India

Abstract

In today’s scenario, more and more people are required to travel back and forth to various places. With the increasing vehicular population and their movements on the roads, accidents are also steadily increasing. It has become a nightmare for the authorities to prevent /reduce such fatal accidents on the roads. But the authorities’ efforts are in vain. It is shocking to know the study results that around 50% of the road accidents are owing to drunken driving all over the world[1], [2]. Any mechanism or device to reduce such deaths will be of great help. “THE SMART CAP” technology will help in preventing such deaths (caused by drunken driving and drowsiness while driving) and it is a means to save thousands of priceless human lives. [3], [4]

Keywords

  • Electroencephalography
  • alpha wave
  • theta wave
  • power spectral density
378-TLE531

How to Cite

Copied

E. Malar, M. Gauthaam, M. Kalaikamal, and S. Muthukrishnan, "The EEG Based Driver Safety System," International Journal of Engineering and Technology, vol. 4, no. 3, pp. 340-343, 2012. https://doi.org/ 10.7763/IJET.2012.V4.378

Copyright & License

Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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E-mail: ijet_Editor@126.com