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.
| Original language | English |
|---|---|
| Title of host publication | Unknown Host Publication |
| Publisher | Online |
| Pages | 1-6 |
| Number of pages | 6 |
| Publication status | Accepted - 18 Apr 2017 |
| Event | 7th Graz Brain-Computer Interface Conference 2017 - Graz Duration: 18 Apr 2017 → … |
Conference
| Conference | 7th Graz Brain-Computer Interface Conference 2017 |
|---|---|
| Period | 18/04/17 → … |
Keywords
- BCI
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Dive into the research topics of 'EVALUATION OF AN SSVEP AND EYE GAZE HYBRID BCI'. Together they form a unique fingerprint.Student theses
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Brain-computer interface and eye tracker as collaborative assistive technologies
Brennan, C. P. (Author), Mc Cullagh, P. (Supervisor), Lightbody, G. (Supervisor) & Galway, L. (Supervisor), Feb 2018Student thesis: Doctoral Thesis
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