Accessing Tele-Services using a Hybrid BCI Approach

CP Brennan, PJ McCullagh, G Lightbody, L Galway, D Feuser, Suzanne Martin

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

7 Citations (Scopus)
201 Downloads (Pure)


Brain Computer Interface (BCI) technology has achievedlimited success outside of laboratory conditions. This technology is hinderedby practical considerations of set up, lack of robustness and low InformationTransfer Rate (ITR). There are two interfaces in a BCI system:the brain's interface with the computer and the computer-environmentinterface, which provides access to applications for the user. Three userservices were implemented: control of the smart home, entertainmentand communication. These may be accessed through a graphical user interfacecontrolled by a BCI. The paper contrasts the performance of anSSVEP based system with a hybrid BCI comprising eye gaze and muscleresponse (measured at the scalp). The hybrid developed utilizes theEPOC for recording electrical potential and an EyeTribe gaze tracker;these can be combined to provide more robust interaction with applications.Average ITR for the eye tracker and hybrid approaches (190-200bpm) are higher than for our SSVEP approach (approx. 15 bpm), for thesame applications. The poor performance of our SSVEP system was dueto the temporal duration of the stimulation (7s) and partly because notall participants could achieve an accuracy of greater than 50%. The currentchallenge is the replacement of the scalp recorded muscle componentwith a reliable user modi able EEG measure.
Original languageEnglish
Title of host publicationUnknown Host Publication
Number of pages14
ISBN (Print)978-3-319-19258-1
Publication statusPublished (in print/issue) - 10 Jun 2014
Event13th International Work-Conference on Artificial Neural Networks, IWANN 2015, - Palma de Mallorca, Spain
Duration: 10 Jun 2014 → …


Conference13th International Work-Conference on Artificial Neural Networks, IWANN 2015,
Period10/06/14 → …


  • Applications
  • Brain-Computer Interface (BCI)
  • Communication
  • Control
  • Entertainment
  • Eye-tracking
  • hBCI
  • Hybrid


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