EVALUATION OF AN SSVEP AND EYE GAZE HYBRID BCI

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.
LanguageEnglish
Title of host publicationUnknown Host Publication
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 → …

Fingerprint

Bioelectric potentials
Brain computer interface
Graphical user interfaces
Hybrid systems

Keywords

  • BCI

Cite this

Brennan, C., McCullagh, P. J., Lightbody, G., & Galway, L. (Accepted/In press). EVALUATION OF AN SSVEP AND EYE GAZE HYBRID BCI. In Unknown Host Publication (pp. 1-6)
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title = "EVALUATION OF AN SSVEP AND EYE GAZE HYBRID BCI",
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.",
keywords = "BCI",
author = "Chris Brennan and McCullagh, {P. J.} and Gaye Lightbody and Leo Galway",
year = "2017",
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Brennan, C, McCullagh, PJ, Lightbody, G & Galway, L 2017, EVALUATION OF AN SSVEP AND EYE GAZE HYBRID BCI. in Unknown Host Publication. pp. 1-6, 7th Graz Brain-Computer Interface Conference 2017, 18/04/17.

EVALUATION OF AN SSVEP AND EYE GAZE HYBRID BCI. / Brennan, Chris; McCullagh, P. J.; Lightbody, Gaye; Galway, Leo.

Unknown Host Publication. 2017. p. 1-6.

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

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N2 - 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.

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