• DocumentCode
    2223737
  • Title

    Optimal visual stimuli on LCD screens for SSVEP based brain-computer interfaces

  • Author

    Volosyak, Ivan ; Cecotti, Hubert ; Graser, Axel

  • Author_Institution
    Inst. of Autom., Univ. of Bremen, Bremen
  • fYear
    2009
  • fDate
    April 29 2009-May 2 2009
  • Firstpage
    447
  • Lastpage
    450
  • Abstract
    In this work, different stimulation frequencies for steady-state visual evoked potentials (SSVEP) based brain-computer interface (BCI) were evaluated in a spelling task with the Bremen-BCI system. The classical two dimensional BCI control requires five classes: four classes are dedicated to the directions (up, down, left and right) and one class for action (select). The number of producible frequencies on the standard liquid crystal display (LCD) is limited due to the vertical refresh rate of 60 Hz and the number of simultaneously used stimuli. In order to find optimal stimulation frequencies, the Bremen-BCI was evaluated in the case study with 37 naive subjects (without any SSVEP-BCI experience), including eight handicapped users, at the international rehabilitation fair RehaCare2008. During online spelling task, subjects spelled few words with the Bremen-BCI system and the timings for classifying different flickering frequencies have been investigated. The fastest SSVEP response was achieved for the stimulus frequency of 6.67 Hz.
  • Keywords
    brain-computer interfaces; handicapped aids; liquid crystal displays; patient rehabilitation; visual evoked potentials; Bremen brain-computer interface; SSVEP based brain-computer interfaces; flickering frequency; frequency 6.6 Hz; handicapped users; international rehabilitation fair RehaCare2008; liquid crystal display screens; optimal stimulation frequency; optimal visual stimuli; steady-state visual evoked potentials; Automation; Brain computer interfaces; Frequency; Graphical user interfaces; Harmonic analysis; Light sources; Neural engineering; Protocols; Steady-state; Telephony;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on
  • Conference_Location
    Antalya
  • Print_ISBN
    978-1-4244-2072-8
  • Electronic_ISBN
    978-1-4244-2073-5
  • Type

    conf

  • DOI
    10.1109/NER.2009.5109329
  • Filename
    5109329