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.
|Title of host publication||Unknown Host Publication|
|Number of pages||6|
|Publication status||Accepted/In press - 18 Apr 2017|
|Event||7th Graz Brain-Computer Interface Conference 2017 - Graz|
Duration: 18 Apr 2017 → …
|Conference||7th Graz Brain-Computer Interface Conference 2017|
|Period||18/04/17 → …|