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EVALUATION OF AN SSVEP AND EYE GAZE HYBRID BCI

Brennan, Chris, McCullagh, P. J., Lightbody, Gaye and Galway, Leo (2017) EVALUATION OF AN SSVEP AND EYE GAZE HYBRID BCI. In: 7th Graz Brain-Computer Interface Conference 2017, Graz. online. 6 pp. [Conference contribution]

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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.

Item Type:Conference contribution (Poster)
Keywords:BCI
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
ID Code:38366
Deposited By: Dr Paul McCullagh
Deposited On:18 Jul 2017 07:54
Last Modified:17 Oct 2017 16:30

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