An SSVEP and Eye Tracking Hybrid BNCI: Potential Beyond Communication and Control

Paul McCullagh, Chris Brennan, G Lightbody, Leo Galway, Eileen Thompson, Suzanne/S Martin

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

5 Citations (Scopus)
127 Downloads (Pure)


Brain-Neural Machine/Computer Interface (BNCI) has been used successfully as an assistive technology to restore communication, improve control and thus potentially enhance social inclusion. Recently BNCI technology and interfaces have evolved to become more usable, thereby allowing the recording of brain activity to become part of the wider self-quantification movement. A hybrid BNCI can provide a viable but alternative interface for Human Computer Interaction, which combines the inputs from BNCI and eye tracking. This hybrid approach has maintained information transfer rate but increased robustness and overall usability. The combination of two complementary technologies provides the possibility for investigating new ways of human enhancement and has the potential to open up new medical applications
Original languageEnglish
Title of host publicationUnknown Host Publication
Number of pages12
Publication statusPublished online - 21 Jun 2016
Event18th International Conference on Human-Computer Interaction - Toronto
Duration: 21 Jun 2016 → …


Conference18th International Conference on Human-Computer Interaction
Period21/06/16 → …


  • Applications
  • BCI
  • Eye-tracking
  • Medical


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