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Evaluation of Suitable Frequency Differences in SSVEP-Based BCIs

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Symbiotic Interaction (Symbiotic 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9359))

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Abstract

Frame-based frequency approximation methods are a popular approach to realize visual stimuli that can be used to elicit steady-state visual evoked potentials (SSVEPs) at various frequencies on computer screens and allows the development of multi-target Brain-Computer Interface (BCI)-Systems. In this paper we investigate appropriate selection of visual stimuli for multi-target BCIs using a frequency approximation method. Twelve sets of frequencies from different bands and with different resolutions have been compared among each other during an on-line BCI-task with six healthy subjects. Our results confirm that equidistant frequency sets are not optimal, as the results from the sets with lower frequency ranges (\(<\)12 Hz) surpass those of the mid-range sets, even if a higher resolution is used. Interestingly, the study shows, that SSVEPs elicted by stimuli from lower bands with a very high frequency resolution of 0.05 Hz could still be classified with adequate accuracy (around 90%). The results confirm that careful stimuli choice has high impact on SSVEP based BCI performance.

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Authors and Affiliations

  1. Faculty of Technology and Bionics, Rhine-Waal University of Applied Sciences, Kleve, Germany

    Piotr Stawicki, Felix Gembler & Ivan Volosyak

Authors
  1. Piotr Stawicki
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  2. Felix Gembler
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  3. Ivan Volosyak
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Corresponding author

Correspondence to Ivan Volosyak .

Editor information

Editors and Affiliations

  1. Sekr. MAR 4-3, Rm 4.041, TU Berlin, Berlin, Berlin

    Benjamin Blankertz

  2. Dept of Computer Science, University of Helsinki, Helsinki

    Giulio Jacucci

  3. Università di Padova, Padua

    Luciano Gamberini

  4. Università di Padova, Padua

    Anna Spagnolli

  5. Department of Psychology, Goldsmiths University, London

    Jonathan Freeman

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Stawicki, P., Gembler, F., Volosyak, I. (2015). Evaluation of Suitable Frequency Differences in SSVEP-Based BCIs. In: Blankertz, B., Jacucci, G., Gamberini, L., Spagnolli, A., Freeman, J. (eds) Symbiotic Interaction. Symbiotic 2015. Lecture Notes in Computer Science(), vol 9359. Springer, Cham. https://doi.org/10.1007/978-3-319-24917-9_17

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  • DOI: https://doi.org/10.1007/978-3-319-24917-9_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24916-2

  • Online ISBN: 978-3-319-24917-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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