2015 | OriginalPaper | Buchkapitel
Evaluation of Suitable Frequency Differences in SSVEP-Based BCIs
verfasst von : Piotr Stawicki, Felix Gembler, Ivan Volosyak
Erschienen in: Symbiotic Interaction
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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 midrange sets, even if a higher resolution is used. Interestingly, the study shows that SSVEPs elicited 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.