ENHANCING BCI PERFORMANCE THROUGH COLLABORATION OF EYE GAZE AND SSVEP

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A hybrid BCI (hBCI) based on SSVEP and eye tracking enhanced interaction performance in terms of Accuracy (Acc.), Efficiency (Eff.) and Information Transfer Rate (ITR) in 29 of 30 participants, when compared to SSVEP alone. Decisions were based on collaborative processing. The SSVEP component was used for selection, reinforcing the eye gaze and solving the ‘Midas touch’ problem associated with eye gaze alone. The overall arithmetic mean Acc., Eff., and ITR for 29 participants completing the four (4-way navigation) tasks was 99.84% (±0.77%), 99.74% (±1.23%) and 24.41 (±6.35) bits/min, respectively. Review of the data shows that adaption of the decision process is possible; this would increase ITR and hence usability of the technology and provide further insight into the decision-making process.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherNeuroadaptive Technology
Pages159-161
Number of pages3
ISBN (Print)N/A
Publication statusPublished - 19 Jul 2017
EventNeuroadaptive Technologies 2017 - Berlin
Duration: 19 Jul 2017 → …

Conference

ConferenceNeuroadaptive Technologies 2017
Period19/07/17 → …

Bibliographical note

Reference text: REFERENCES
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Keywords

  • BCI

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