Brain-computer interface using P300 and virtual reality: A gaming approach for treating ADHD

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    Abstract

    This paper presents a novel brain-computer interface (BCI) system aiming at the rehabilitation of attention-deficit/hyperactive disorder in children. It uses the P300 potential in a series of feedback games to improve the subjects' attention. We applied a support vector machine (SVM) using temporal and template-based features to detect these P300 responses. In an experimental setup using five subjects, an average error below 30% was achieved. To make it more challenging the BCI system has been embedded inside an immersive 3D virtual reality (VR) classroom with simulated distractions, which was created by combining a low-cost infrared camera and an “off-axis perspective projection” algorithm. This system is intended for kids by operating with four electrodes, as well as a non-intrusive VR setting. With the promising results, and considering the simplicity of the scheme, we hope to encourage future studies to adapt the techniques presented in this study.
    Original languageEnglish
    Title of host publication2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    PublisherIEEE
    Publication date2014
    Pages3606-3609
    ISBN (Print)978-1-4244-7929-0
    DOIs
    Publication statusPublished - 2014
    Event36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, United States
    Duration: 26 Aug 201430 Aug 2014
    Conference number: 36
    http://embc.embs.org/2014/

    Conference

    Conference36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    Number36
    Country/TerritoryUnited States
    CityChicago, IL
    Period26/08/201430/08/2014
    Internet address

    Keywords

    • Bioengineering
    • Animals
    • Electrodes
    • Electroencephalography
    • Feature extraction
    • Games
    • Training
    • Visualization

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