• DocumentCode
    3696181
  • Title

    Evoked response potential training on a consumer EEG headset

  • Author

    James Derek Jacoby;Melanie Tory;James Tanaka

  • Author_Institution
    Department of Computer Science, University of Victoria, Canada
  • fYear
    2015
  • Firstpage
    485
  • Lastpage
    490
  • Abstract
    Neurofeedback paradigms are of increasing interest, both for brain-computer interfaces and for training purposes. In the current study we examine multi-session training in a P3 speller application which uses P300 evoked response potentials to identify the letter of a word a participant is attempting to spell. Because neurofeedback training is most effective over time, there is an advantage to using low-cost hardware that can be used in the home rather than expensive research-grade equipment. This study is performed on an Emotiv Epoc EEG headset and some of the problems and workarounds inherent in this are discussed. This headset is sensitive enough to detect evoked response potentials and evidence of a training effect is found. Motivational aspects of ERP training are discussed and an alternate P300 training paradigm is presented.
  • Keywords
    "Training","Electroencephalography","Headphones","Electrodes","Games","Brain modeling","Neurofeedback"
  • Publisher
    ieee
  • Conference_Titel
    Communications, Computers and Signal Processing (PACRIM), 2015 IEEE Pacific Rim Conference on
  • Electronic_ISBN
    2154-5952
  • Type

    conf

  • DOI
    10.1109/PACRIM.2015.7334885
  • Filename
    7334885