• DocumentCode
    118384
  • Title

    Chromatic SSVEP BCI paradigm targeting the higher frequency EEG responses

  • Author

    Aminaka, Daiki ; Makino, Shoji ; Rutkowski, Tomasz M.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Tsukuba, Tsukuba, Japan
  • fYear
    2014
  • fDate
    9-12 Dec. 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    A novel approach to steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) is presented in the paper. To minimize possible side-effects of the monochromatic light SSVEP-based BCI we propose to utilize chromatic green-blue flicker stimuli in higher, comparing to the traditionally used, frequencies. The developed safer SSVEP responses are processed an classified with features drawn from EEG power spectra. Results obtained from healthy users support the research hypothesis of the chromatic and higher frequency SSVEP. The feasibility of proposed method is evaluated in a comparison of monochromatic versus chromatic SSVEP responses. We also present preliminary results with empirical mode decomposition (EMD) adaptive filtering which resulted with improved classification accuracies.
  • Keywords
    active filters; brain-computer interfaces; electroencephalography; medical signal processing; visual evoked potentials; EEG power spectra; EMD adaptive filtering; SSVEP-based BCI; brain-computer interface; chromatic SSVEP BCI paradigm; chromatic green-blue flicker stimuli; empirical mode decomposition; higher frequency EEG response; monochromatic light; steady-state visual evoked potential; Accuracy; Electrodes; Electroencephalography; Light emitting diodes; Training; Vectors; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Asia-Pacific Signal and Information Processing Association, 2014 Annual Summit and Conference (APSIPA)
  • Conference_Location
    Siem Reap
  • Type

    conf

  • DOI
    10.1109/APSIPA.2014.7041761
  • Filename
    7041761