Development of an open source platform for brain-machine interface: OpenBMI

Min Ho Lee, Siamac Fazli, Keun Tae Kim, Seong Whan Lee

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

    17 Citations (Scopus)

    Abstract

    Recently, there has been an increased demand for Brain-Machine Interface (BMI) toolboxes for neuroscience research. A BMI system provides a communication tool for people with severe motor disabilities and can be used to control external devices. Here, we introduce an open-source BMI platform, named 'OpenBMI'. OpenBMI offers various BMI paradigms, signal processing tools, data analysis techniques as well as real-time feedback modules. The OpenBMI toolbox covers the entire processing chains for offline and online analysis of common BMI paradigms, such as motor-imagery (MI), eventrelated potentials (ERPs) and steady-state visual evoked potentials (SSVEP). In this article, the OpenBMI framework, its features as well as its future development plan is introduced.

    Original languageEnglish
    Title of host publication4th International Winter Conference on Brain-Computer Interface, BCI 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Print)9781467378413
    DOIs
    Publication statusPublished - 2016 Apr 20
    Event4th International Winter Conference on Brain-Computer Interface, BCI 2016 - Gangwon Province, Korea, Republic of
    Duration: 2016 Feb 222016 Feb 24

    Other

    Other4th International Winter Conference on Brain-Computer Interface, BCI 2016
    Country/TerritoryKorea, Republic of
    CityGangwon Province
    Period16/2/2216/2/24

    Keywords

    • Brain-Machine Interface
    • Open-Source Software
    • OpenBMI
    • Psychophysics Toolbox
    • Real-time analysis

    ASJC Scopus subject areas

    • Human-Computer Interaction

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