Machine learning and applications for brain-computer Interfacing

K. R. Müller, M. Krauledat, G. Dornhege, G. Curio, B. Blankertz

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    15 Citations (Scopus)

    Abstract

    This paper discusses machine learning methods and their application to Brain-Computer Interfacing. A particular focus is placed on linear classification methods which can be applied in the BCI context. Finally, we provide an overview on the Berlin-Brain Computer Interface (BBCI).

    Original languageEnglish
    Title of host publicationHuman Interface and the Management of Information
    Subtitle of host publicationMethods, Techniques and Tools in Information Design - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings
    PublisherSpringer Verlag
    Pages705-714
    Number of pages10
    EditionPART 1
    ISBN (Print)9783540733447
    DOIs
    Publication statusPublished - 2007
    EventSymposium on Human Interface 2007 - Beijing, China
    Duration: 2007 Jul 222007 Jul 27

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    NumberPART 1
    Volume4557 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    OtherSymposium on Human Interface 2007
    Country/TerritoryChina
    CityBeijing
    Period07/7/2207/7/27

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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