RMIT University
Browse

Frontal Alpha Asymmetry Neurofeedback for Brain-Computer Interfaces

conference contribution
posted on 2024-10-31, 22:17 authored by Marc Cavazza, Gabor Aranyi, Fred Charles, Julie PorteousJulie Porteous, Stephen Gilroy, Gilan Jackont, Ilana Klovatch, Gal Raz, Nimrod Keynan, Avihay Cohen, Talma Hendler
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.

History

Related Materials

  1. 1.
    DOI - Is published in 10.3217/978-3-85125-378-8-92
  2. 2.
    ISBN - Is published in 9783851253788 (urn:isbn:9783851253788)

Start page

365

End page

368

Total pages

4

Outlet

Proceedings of the 6th International Brain-Computer Interface Conference 2014

Editors

Gernot Müller-Putz, Günther Bauernfeind, Clemens Brunner, David Steyrl, Selina Wriessnegger, Reinhold Scherer

Name of conference

The Future of Brain-Computer Interaction: Basics, Shortcomings, Users

Publisher

Graz University of Technology

Place published

Graz, Austria

Start date

2014-09-16

End date

2014-09-19

Language

English

Copyright

© 2014 Verlag der Technischen Universit¨at Graz

Former Identifier

2006087181

Esploro creation date

2020-06-22

Fedora creation date

2019-01-31

Usage metrics

    Scholarly Works

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC