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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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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