Frontal Alpha Asymmetry Neurofeedback for Brain-Computer Interfaces

Marc Cavazza, Gabor Aranyi, Fred Charles, Julie Porteous, Stephen Gilroy, Gilan Jackont, Ilana Klovatch, Gal Raz, Nimrod Jakob Keyman, Avihay Cohen, Talma Hendler

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

We report the development of an affective BCI based on frontal alpha asymmetry neurofeedback, which has previously been used in clinical experiments. Our results evidence a pattern of high-performance for some subjects, combined with high illiteracy, with 52.3% of subjects succeeding in the neurofeedback task. We suggest that individual asymmetry baseline values may be one of the factors explaining BCI illiteracy in this context.
Original languageEnglish
Title of host publicationProceedings of the 6th International Brain-Computer Interface Conference 2014
Subtitle of host publicationThe Future of Brain-Computer Interaction: Basics, Shortcomings, Users
EditorsGernot Müller-Putz, Günther Bauernfeind, Clemens Brunner, David Steyrl, Selina Wriessnegger, Reinhold Scherer
Place of PublicationGraz, Austria
PublisherVerlag der Technischen Universität Graz
Pages365-368
Number of pages4
ISBN (Print)9783851253788
StatePublished - 2014

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