The Berlin brain-computer interface: Progress beyond communication and control

Benjamin Blankertz, Laura Acqualagna, Sven Dähne, Stefan Haufe, Matthias Schultze-Kraft, Irene Sturm, Marija Ušcumlic, Markus A. Wenzel, Gabriel Curio, Klaus Robert Müller

    Research output: Contribution to journalReview articlepeer-review

    173 Citations (Scopus)

    Abstract

    The combined effect of fundamental results about neurocognitive processes and advancements in decoding mental states from ongoing brain signals has brought forth a whole range of potential neurotechnological applications. In this article, we review our developments in this area and put them into perspective. These examples cover a wide range of maturity levels with respect to their applicability. While we assume we are still a long way away from integrating Brain-Computer Interface (BCI) technology in general interaction with computers, or from implementing neurotechnological measures in safety-critical workplaces, results have already now been obtained involving a BCI as research tool. In this article, we discuss the reasons why, in some of the prospective application domains, considerable effort is still required to make the systems ready to deal with the full complexity of the real world.

    Original languageEnglish
    Article number530
    JournalFrontiers in Neuroscience
    Volume10
    Issue numberNOV
    DOIs
    Publication statusPublished - 2016

    Bibliographical note

    Publisher Copyright:
    © 2016 Blankertz, Acqualagna, Dähne, Haufe, Schultze-Kraft, Sturm, Ušcumlic, Wenzel, Curio and Müller.

    Keywords

    • Brain-Computer Interfacing (BCI)
    • Cognitive neuroscience
    • Covert user states
    • Electroencephalography (EEG)
    • Implicit information
    • Machine learning
    • Mental workload
    • Video quality

    ASJC Scopus subject areas

    • General Neuroscience

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