• DocumentCode
    2867217
  • Title

    Divergent common spatial patterns method

  • Author

    Duman, Mecit Emre ; Yuksel, Ayhan ; Olmez, Tamer

  • Author_Institution
    Elektron. ve Haberlesme Muhendisligi Bolumu, Istanbul Teknik Univ., Istanbul, Turkey
  • fYear
    2015
  • fDate
    16-19 May 2015
  • Firstpage
    612
  • Lastpage
    615
  • Abstract
    In this study, a novel method called DIVCSP is proposed that can be a good alternative to the spatial filtering methods which are used to have a good discrimination between different classes in motor imagery based brain computer interfaces. With DIVCSP method spatial filters that increase between classes scattering while decreasing in-class scattering can be obtained thus, the classification accuracy can be increased. The classification results obtained with DIVCSP show that, proposed method is a good alternative to CSP method which is widely popular.
  • Keywords
    brain-computer interfaces; image classification; spatial filters; DIVCSP method; brain computer interface; classification accuracy; divergent common spatial patterns method; in-class scattering; motor imagery; spatial filtering method; Brain-computer interfaces; Electroencephalography; Neural engineering; Neurophysiology; Scattering; Spatial filters; Brain computer interface; CSP; Divergence; Motor imagery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2015 23th
  • Conference_Location
    Malatya
  • Type

    conf

  • DOI
    10.1109/SIU.2015.7129898
  • Filename
    7129898