Implementation of SSVEP based BCI with Emotiv EPOC

In recent years, steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI) has received much attentions. However, most SSVEP based BCI devices are not portable and have high price, which are not suitable to be used for clinical and commercial purpose. Thanks to the low cost and portable Emotiv EPOC, it brings BCI into daily life. In this paper, SSVEP based BCI through Emotiv EPOC is implemented. BCI 2000 is employed to connect Emotiv EPOC and Matlab to implement the online system. The online experiments have the accuracy of 95.83±3.59 %, information transfer rate (ITR) with 22.85±1.85 bits/min and detection duration of 5.25±2.14 sec.

[1]  E. Donchin,et al.  Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. , 1988, Electroencephalography and clinical neurophysiology.

[2]  S. Klein,et al.  The topography of visual evoked response properties across the visual field. , 1994, Electroencephalography and clinical neurophysiology.

[3]  G. Pfurtscheller,et al.  Brain-Computer Interfaces for Communication and Control. , 2011, Communications of the ACM.

[4]  M. Morgan.  Vision quest , 2003, Nature.

[5]  Shangkai Gao,et al.  A practical VEP-based brain-computer interface. , 2006, IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[6]  Miguel A. L. Nicolelis,et al.  Brain–machine interfaces: past, present and future , 2006, Trends in Neurosciences.

[7]  Yijun Wang,et al.  Brain-Computer Interfaces Based on Visual Evoked Potentials , 2008, IEEE Engineering in Medicine and Biology Magazine.

[8]  Dezhong Yao,et al.  Stimulator selection in SSVEP-based BCI. , 2008, Medical engineering & physics.

[9]  Xiaorong Gao,et al.  An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method , 2009, Journal of neural engineering.

[10]  Anton Nijholt,et al.  Turning Shortcomings into Challenges: Brain-Computer Interfaces for Games , 2009, INTETAIN.

[11]  Feng Wan,et al.  An improved phase-tagged stimuli generation method in steady-state visual evoked potential based brain-computer interface , 2010, 2010 3rd International Conference on Biomedical Engineering and Informatics.

[12]  Feng Wan,et al.  A high rate online SSVEP based brain-computer interface speller , 2011, 2011 5th International IEEE/EMBS Conference on Neural Engineering.