Investigation into a Mixed Hybrid Using SSVEP and Eye Gaze for Optimising User Interaction within a Virtual Environment

Brain Computer Interface (BCI) technology has been used successfully in neurophysiological research laboratories, but has had less success when used outside the laboratory and particularly for people with disability. The hybrid BCI approach offers the potential for a more robust solution, with potential better usability to promote greater acceptance. The emphasis on improving human computer interaction may facilitate more widespread deployment, particularly where BCI alone has proved unsuccessful. This paper adapts an existing modular BCI architecture to support a 'mixed hybrid', by combining a BCI with a commercial eye tracker, and suggests graphical user interfaces to facilitate operation and control of a virtual environment.

[1]  Febo Cincotti,et al.  Tools for Brain-Computer Interaction: A General Concept for a Hybrid BCI , 2011, Front. Neuroinform..

[2]  Brendan Z. Allison,et al.  The Hybrid BCI , 2010, Frontiers in Neuroscience.

[3]  Mincheol Whang,et al.  A brain–computer interface method combined with eye tracking for 3D interaction , 2010, Journal of Neuroscience Methods.

[4]  Gaye Lightbody,et al.  Contrasting levels of accuracy in command interaction sequences for a domestic brain-computer interface using SSVEP , 2010, 2010 5th Cairo International Biomedical Engineering Conference.

[5]  Franck Tarpin-Bernard,et al.  Evaluation and Comparison of a Multimodal Combination of BCI Paradigms and Eye Tracking With Affordable Consumer-Grade Hardware in a Gaming Context , 2013, IEEE Transactions on Computational Intelligence and AI in Games.

[6]  Thorsten O. Zander,et al.  Enhancing Human-Computer Interaction with Input from Active and Passive Brain-Computer Interfaces , 2010, Brain-Computer Interfaces.

[7]  Rabab K. Ward,et al.  The Design of a Point-and-Click System by Integrating a Self-Paced Brain–Computer Interface With an Eye-Tracker , 2011, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

[8]  Ivan Volosyak,et al.  A novel EEG acquisition system for Brain Computer Interfaces , 2011 .

[9]  N. Birbaumer,et al.  BCI2000: a general-purpose brain-computer interface (BCI) system , 2004, IEEE Transactions on Biomedical Engineering.

[10]  Brendan Z. Allison,et al.  Brain-Computer Interfaces , 2010 .

[11]  Gaye Lightbody,et al.  A user centred approach for developing Brain-Computer Interfaces , 2010, 2010 4th International Conference on Pervasive Computing Technologies for Healthcare.

[12]  C. Neuper,et al.  Combining Brain–Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges , 2010, Front. Neurosci..

[13]  G R Müller-Putz,et al.  Toward smarter BCIs: extending BCIs through hybridization and intelligent control , 2012, Journal of neural engineering.

[14]  Piotr J. Durka,et al.  User-centered design of brain-computer interfaces: OpenBCI.pl and BCI Appliance , 2012 .

[15]  Thorsten O. Zander,et al.  Combining Eye Gaze Input With a Brain–Computer Interface for Touchless Human–Computer Interaction , 2010, Int. J. Hum. Comput. Interact..

[16]  Nataliya Kos 'myna,et al.  Evaluation and Comparison of a Multimodal Combination of BCI Paradigms with Consumer-Grade Hardware and Eye Tracking , 2013 .

[17]  Jane E Huggins,et al.  Barriers to and mediators of brain–computer interface user acceptance: focus group findings , 2012, Ergonomics.

[18]  Jonathan R Wolpaw,et al.  A brain-computer interface for long-term independent home use , 2010, Amyotrophic lateral sclerosis : official publication of the World Federation of Neurology Research Group on Motor Neuron Diseases.