EVALUATION OF AN SSVEP AND EYE GAZE HYBRID BCI

Chris Brennan, P. J. McCullagh, Gaye Lightbody, Leo Galway

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An evaluation of a hybrid Brain-Computer Interface that combines input modalities of Steady State Visual Evoked Potential (SSVEP) and eye gaze is provided. Thirty volunteers participated and all but one could use the BCI, eye-tracker and hybrid system. The hybrid BCI was compared with SSVEP alone for navigating to four domotic tasks issued via a graphical user interface. Mean performance metrics of Accuracy (Acc.), Efficiency (Eff.) and Information Transfer Rate (ITR) all improved (mean Acc. = 93.3% to 99.84%, mean Eff. = 89.56% to 99.74%, mean ITR = 23.78 to 24.41 bpm). While the absolute improvements are small, better performance may contribute to user acceptability, as the eye-gaze component adds minimal additional user effort to the interaction yet provides control that is more robust.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherOnline
Pages1-6
Number of pages6
Publication statusAccepted/In press - 18 Apr 2017
Event7th Graz Brain-Computer Interface Conference 2017 - Graz
Duration: 18 Apr 2017 → …

Conference

Conference7th Graz Brain-Computer Interface Conference 2017
Period18/04/17 → …

Keywords

  • BCI

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