• DocumentCode
    630464
  • Title

    The state of the art in electroencephalogram and access control

  • Author

    Almehmadi, Abdulaziz ; El-Khatib, Khalil

  • Author_Institution
    Univ. of Ontario Inst. of Technol., Oshawa, ON, Canada
  • fYear
    2013
  • fDate
    19-21 June 2013
  • Firstpage
    49
  • Lastpage
    54
  • Abstract
    Electroencephalogram (EEG) is the recorded electrical signals generated by the brain. EEG signals can be recorded using electrodes placed on the scalp. The recorded signal is usually filtered and analyzed for feature extractions. These features have proven to be accurate enough for user authentication. This study provides a deep analysis of different approaches of EEG user authentication, their strength, and weaknesses and draws a conclusion on future directions in this field.
  • Keywords
    biometrics (access control); electroencephalography; feature extraction; medical signal processing; EEG signals; access control; brain; electrodes; electroencephalogram; feature extractions; recorded electrical signals; user authentication; Authentication; Biometrics (access control); Brain models; Electrodes; Electroencephalography; Biometrics; Electroencephalogram;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technology (ICCIT), 2013 Third International Conference on
  • Conference_Location
    Beirut
  • Print_ISBN
    978-1-4673-5306-9
  • Type

    conf

  • DOI
    10.1109/ICCITechnology.2013.6579521
  • Filename
    6579521