Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment

Stephanie Brandl, Johannes Höhne, Klaus Robert Muller, Wojciech Samek

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

    15 Citations (Scopus)

    Abstract

    Bringing Brain-Computer Interfaces (BCIs) into everyday life is a challenge because an out-of-lab environment implies the presence of variables that are largely beyond control of the user and the software application. This can severely corrupt signal quality as well as reliability of BCI control. Current BCI technology may fail in this application scenario because of the large amounts of noise, nonstationarity and movement artifacts. In this paper, we systematically investigate the performance of motor imagery BCI in a pseudo realistic environment. In our study 16 participants were asked to perform motor imagery tasks while dealing with different types of distractions such as vibratory stimulations or listening tasks. Our experiments demonstrate that standard BCI procedures are not robust to theses additional sources of noise, implicating that methods which work well in a lab environment, may perform poorly in realistic application scenarios. We discuss several promising research directions to tackle this important problem.

    Original languageEnglish
    Title of host publication2015 7th International IEEE/EMBS Conference on Neural Engineering, NER 2015
    PublisherIEEE Computer Society
    Pages224-227
    Number of pages4
    ISBN (Electronic)9781467363891
    DOIs
    Publication statusPublished - 2015 Jul 1
    Event7th International IEEE/EMBS Conference on Neural Engineering, NER 2015 - Montpellier, France
    Duration: 2015 Apr 222015 Apr 24

    Publication series

    NameInternational IEEE/EMBS Conference on Neural Engineering, NER
    Volume2015-July
    ISSN (Print)1948-3546
    ISSN (Electronic)1948-3554

    Other

    Other7th International IEEE/EMBS Conference on Neural Engineering, NER 2015
    Country/TerritoryFrance
    CityMontpellier
    Period15/4/2215/4/24

    Bibliographical note

    Publisher Copyright:
    © 2015 IEEE.

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Mechanical Engineering

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