• DocumentCode
    3042359
  • Title

    Implementation of SSVEP based BCI with Emotiv EPOC

  • Author

    Liu, Yue ; Jiang, Xiao ; Cao, Teng ; Wan, Feng ; Mak, Peng Un ; Mak, Pui-In ; Vai, Mang I.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Macau, Macau, China
  • fYear
    2012
  • fDate
    2-4 July 2012
  • Firstpage
    34
  • Lastpage
    37
  • Abstract
    In recent years, steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) has received much attentions. However, most SSVEP based BCI devices are not portable and have high price, which are not suitable to be used for clinical and commercial purpose. Thanks to the low cost and portable Emotiv EPOC, it brings BCI into daily life. In this paper, SSVEP based BCI through Emotiv EPOC is implemented. BCI 2000 is employed to connect Emotiv EPOC and Matlab to implement the online system. The online experiments have the accuracy of 95.83±3.59 %, information transfer rate (ITR) with 22.85±1.85 bits/min and detection duration of 5.25±2.14 sec.
  • Keywords
    brain-computer interfaces; electroencephalography; mathematics computing; medical signal processing; BCI 2000; EEG signals; Emotiv EPOC; ITR; Matlab; SSVEP based BCI device; SSVEP signals; brain-computer interface; information transfer rate; steady-state visual evoked potential based brain-computer interface; Accuracy; Brain computer interfaces; Correlation; Electroencephalography; MATLAB; Monitoring; Visualization; Emotiv EPOC; brain-computer interfaces (BCI); canonical correlation cnalysis (CCA); steady-state visual evoked potential (SSVEP);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS), 2012 IEEE International Conference on
  • Conference_Location
    Tianjin
  • ISSN
    1944-9429
  • Print_ISBN
    978-1-4577-1758-1
  • Type

    conf

  • DOI
    10.1109/VECIMS.2012.6273184
  • Filename
    6273184