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.
|Title of host publication||Unknown Host Publication|
|Number of pages||3|
|Publication status||Published - 19 Jul 2017|
|Event||Neuroadaptive Technologies 2017 - Berlin|
Duration: 19 Jul 2017 → …
|Conference||Neuroadaptive Technologies 2017|
|Period||19/07/17 → …|
Brennan, C., McCullagh, P. J., Galway, L., & Lightbody, G. (2017). ENHANCING BCI PERFORMANCE THROUGH COLLABORATION OF EYE GAZE AND SSVEP. In Unknown Host Publication (pp. 159-161). Neuroadaptive Technology.