• DocumentCode
    529250
  • Title

    Feature extraction from EEG signals in SSVEP spelling system

  • Author

    Yamaguchi, Tomonari ; Omori, Kana ; Irie, Jun ; Inoue, Katsuhiro

  • Author_Institution
    Dept. of Syst. Design & Inf., Kyushu Inst. of Technol., Fukuoka, Japan
  • fYear
    2010
  • fDate
    18-21 Aug. 2010
  • Firstpage
    58
  • Lastpage
    62
  • Abstract
    It is known that Electroencephalograph (EEG) signal shows specific responses according to the event (e.g. visual stimulus, cognition and motor imagery). Especially, by classifying short time EEG signal, features are used to control an electronic device (such system is called brain computer interface: BCI). In this study, we tried to construct SSVEP type EEG spelling system which uses response with cycle visual stimulus. Feature extraction methods from EEG signal during visual stimulus are discussed.
  • Keywords
    brain-computer interfaces; electroencephalography; feature extraction; SSVEP spelling system; cycle visual stimulus; electroencephalograph signal; electronic device; feature extraction; short time EEG signal; Accuracy; Electroencephalography; Feature extraction; Harmonic analysis; Laplace equations; Pattern recognition; Visualization; AR-model; BCI; EEG; EEG-Speller; Fourier analysis; Pattern recognition; SSVEP;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference 2010, Proceedings of
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4244-7642-8
  • Type

    conf

  • Filename
    5602460
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=529250