• DocumentCode
    642916
  • Title

    Implementation of an inexpensive EEG headset for the pattern recognition purpose

  • Author

    Kawala-Janik, Aleksandra ; Podpora, Michal ; Pelc, Mariusz ; Piatek, Pawel ; Baranowski, Jerzy

  • Author_Institution
    Sch. of Comput. & Math. Sci., Univ. of Greenwich, London, UK
  • Volume
    01
  • fYear
    2013
  • fDate
    12-14 Sept. 2013
  • Firstpage
    399
  • Lastpage
    403
  • Abstract
    There are many types of bio-signals with various control application prospects. In this work possible control application domain of electroencephalographic signal obtained from an easily available, inexpensive EEG headset - Emotiv EPOC was presented. This work also involved application of an embedded system platform. That solution caused limits in choosing an appropriate signal processing method, as embedded platforms characterise with a little efficiency and low computing power. Potential implementation of the embedded platform enables to extend the possible future application of the proposed BCI. It also gives more flexibility, as the platform is able to simulate various environments. In this work traditional, statistical methods were neither used nor described.
  • Keywords
    electroencephalography; medical signal processing; pattern recognition; statistical analysis; BCI; Emotiv EPOC; biosignals; control application domain; electroencephalographic signal; embedded system platform; inexpensive EEG headset; pattern recognition; signal processing; statistical methods; Electrodes; Electroencephalography; Headphones; MATLAB; Noise measurement; Pattern recognition; Signal processing; Brain-Computer Interface; EEG signals; Emotiv EPOC headset; bioinformatics; control; embedded platforms; robotics; signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on
  • Conference_Location
    Berlin
  • Print_ISBN
    978-1-4799-1426-5
  • Type

    conf

  • DOI
    10.1109/IDAACS.2013.6662715
  • Filename
    6662715