MURAL - Maynooth University Research Archive Library

    A Note on Brain Actuated Spelling with the Berlin Brain-Computer Interface.

    Blankertz, Benjamin and Krauledat, M. and Dornhege, G. and Williamson, John and Murray-Smith, Roderick (2007) A Note on Brain Actuated Spelling with the Berlin Brain-Computer Interface. In: Universal Access in Human-Computer Interaction Ambient Interaction 4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007 Held as Part of HCI International 2007 Beijing, China, July 22-27, 2007 Proceedings, Part II. Lecture Notes in Computer Science (LNCS), 4555/2007 . Springer Berlin / Heidelberg, pp. 759-768. ISBN 978-3-540-73280-8

    [img] Download (221kB)
    Official URL:

    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...

    Add this article to your Mendeley library


    Brain-Computer Interfaces (BCIs) are systems capable of decoding neural activity in real time, thereby allowing a computer application to be directly controlled by the brain. Since the characteristics of such direct brain-to- computer interaction are limited in several aspects, one major challenge in BCI research is intelligent front-end design. Here we present the mental text entry application ‘Hex-o-Spell’ which incorporates principles of Human-Computer Interaction research into BCI feedback design. The system utilises the high visual display bandwidth to help compensate for the extremely limited control bandwidth which operates with only two mental states, where the timing of the state changes encodes most of the information. The display is visually appealing, and control is robust. The effectiveness and robustness of the interface was demonstrated at the CeBIT 2006 (world’s largest IT fair) where two subjects operated the mental text entry system at a speed of up to 7.6 char/min.

    Item Type: Book Section
    Keywords: Brain-computer interfaces (BCIs); Language model; Hex-o-Spell; Human computer interaction (HCI); UAHCI 2007; Hamilton Institute.
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 1752
    Depositing User: Hamilton Editor
    Date Deposited: 15 Dec 2009 15:04
    Publisher: Springer Berlin / Heidelberg
    Refereed: Yes
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

    Repository Staff Only(login required)

    View Item Item control page


    Downloads per month over past year

    Origin of downloads