• DocumentCode
    140285
  • Title

    Visually stimulated brain-computer interfaces compete with eye tracking interfaces when using small targets

  • Author

    Suefusa, Kaori ; Tanaka, T.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Tokyo Univ. of Agric. & Technol., Koganei, Japan
  • fYear
    2014
  • fDate
    26-30 Aug. 2014
  • Firstpage
    4005
  • Lastpage
    4008
  • Abstract
    Visually stimulated brain-computer interfacing detects which target on a screen a user is gazing at; however, this is also accomplished by tracking gaze points with a camera. These two approaches have been independently investigated and sometimes doubts about BCI with visual stimuli are raised in terms of usability compared to eye tracking interfaces (ETI). This paper answers this question by investigating information transfer rates (ITR) and recognition accuracies of BCI and ETI having a similar interface design, where subjects were asked to gaze at one of four targets on a screen. Experimental results revealed that BCI is comparable in ITR to ETI and had better performance for relatively small targets on the screen.
  • Keywords
    brain-computer interfaces; electroencephalography; gaze tracking; medical signal processing; pattern recognition; visual evoked potentials; BCI; ETI; ITR; camera; eye tracking interfaces; gaze point tracking; information transfer rates; interface design; recognition accuracies; screen; small targets; visual stimuli; visually stimulated brain-computer interfaces; Accuracy; Calibration; Computers; Correlation; Electroencephalography; Target tracking; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2014.6944502
  • Filename
    6944502