• DocumentCode
    2396811
  • Title

    An independent brain-computer interface based on covert shifts of non-spatial visual attention

  • Author

    Zhang, Dan ; Gao, Xiaorong ; Gao, Shangkai ; Engel, Andreas K. ; Maye, Alexander

  • Author_Institution
    Dept. of Biomed. Eng., Tsinghua Univ., Beijing, China
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    539
  • Lastpage
    542
  • Abstract
    Modulation of steady-state visual evoked potential (SSVEP) by directing gaze to targets flickering at different frequencies has been utilized in many brain-computer interface (BCI) studies. However, this paradigm may not work with patients suffering from complete locked-in syndrome or other severe motor disabilities that do not allow conscious control of gaze direction. In this paper, we present a novel, independent BCI paradigm based on covert shift of non-spatial visual selective attention. Subjects viewed a display consisting of two spatially overlapping sets of randomly positioned dots. The two dot sets differed in color, motion and flickering frequency. Two types of motion, rotation and linear motion, were investigated. Both, the SSVEP amplitude and phase response were modulated by selectively attending to one of the two dot sets. Offline analysis revealed a predicted online classification accuracy of 69.3plusmn10.2% for the rotating dots, and 80.7plusmn10.4% for the linearly moving dots.
  • Keywords
    brain-computer interfaces; handicapped aids; neurophysiology; visual evoked potentials; visual perception; BCI; brain activity; brain-computer interface; nonspatial visual selective attention; offline analysis; online classification; phase response; randomly positioned dots; steady-state visual evoked potential; Adult; Attention; Brain Mapping; Evoked Potentials, Visual; Female; Humans; Male; Motion Perception; Perceptual Masking; User-Computer Interface; Visual Cortex;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5333740
  • Filename
    5333740