Human behavior integration improves classification rates in real-time BCI

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

    Research output: Contribution to journalArticlepeer-review

    14 Citations (Scopus)


    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
    Issue number4
    Publication statusPublished - Aug 2010


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


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