Human behavior integration improves classification rates in real-time BCI

Bartłomiej Grychtol, H. Lakany, G. Valsan, B.A. Conway

    Research output: Contribution to journalArticle

    14 Citations (Scopus)

    Abstract

    Brain-computer interfaces (BCI) offer potential for individuals with a variety of motor and sensory disabilities to interact with their environment, communicate and control mobility aids. Two key factors which affect the performance of a BCI and its usability are the feedback given to the participant and the subject's motivation. This paper presents the results from a study investigating the effects of feedback and motivation on the performance of the Strathclyde Brain Computer Interface. The paper discusses how the performance of the system can be improved by behavior integration and human-in-the-loop design.
    Original languageEnglish
    Pages (from-to)362-368
    Number of pages7
    JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
    Volume18
    Issue number4
    DOIs
    Publication statusPublished - Aug 2010

    Fingerprint

    Brain-Computer Interfaces
    Brain computer interface
    Motivation
    Feedback

    Keywords

    • brain-computer interfaces
    • handicapped aids
    • medical signal processing
    • sensory aids
    • virtual reality

    Cite this

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    Human behavior integration improves classification rates in real-time BCI. / Grychtol, Bartłomiej; Lakany, H.; Valsan, G.; Conway, B.A.

    In: IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 18, No. 4, 08.2010, p. 362-368.

    Research output: Contribution to journalArticle

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    AU - Valsan, G.

    AU - Conway, B.A.

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    KW - medical signal processing

    KW - sensory aids

    KW - virtual reality

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