• DocumentCode
    174011
  • Title

    Quantification and reduction of visual load during BCI operation

  • Author

    Gwak, Kiuk ; Leeb, R. ; Millan, Jose Del R. ; Dae-Shik Kim

  • Author_Institution
    Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • fYear
    2014
  • fDate
    5-8 Oct. 2014
  • Firstpage
    2795
  • Lastpage
    2800
  • Abstract
    Operating a brain-actuated vehicle in real-world environments requires much of our visual attention. However, a typical brain-computer interface (BCI) sends the feedback information about the current status of the user´s brain also via the visual channel. As a result, users have to split their visual attention into two: one for the surroundings and the other for the visual BCI feedback. Therefore, we recently developed a tactile stimulation system that successfully replaced the conventional visual feedback. Here we employ the multiple object tracking experiments to quantify the visual load added by the visual feedback. The result show that the additional visual load is almost eliminated, and the true negative rate of the BCI operation (intentional non-control) is improved when the visual feedback is replaced by the tactile feedback.
  • Keywords
    brain-computer interfaces; electroencephalography; haptic interfaces; BCI operation; brain-actuated vehicle; brain-computer interface; feedback information; multiple object tracking experiments; real-world environments; tactile feedback; visual BCI feedback; visual attention; visual load quantification; visual load reduction; Accuracy; Electroencephalography; Object tracking; Tactile sensors; Target tracking; Vehicles; Visualization; BCI feedback; Tactile BCI; motor imagery; multiple object tracking; tactile feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Type

    conf

  • DOI
    10.1109/SMC.2014.6974352
  • Filename
    6974352