Neural Networks for Eye Detection
Keywords:
Performance evaluation, Deep learning, VisualizationAbstract
In this study a Deep Learning (DL) based-Brain-Computer Interface (BCI) system able to automatically detect and decode voluntary eye blinks from the analysis of electroen-cephalographic (EEG) signals.
References
J. R. Wolpaw, N. Birbaumer, W. J. Heetderks, D. J. McFarland, P. H. Peckham, G. Schalk, E. Donchin, L. A. Quatrano, C. J. Robinson, T. M. Vaughan et al., "Brain-computer interface technology: a review of the first international meeting", IEEE transactions on rehabilitation engineering, vol. 8, no. 2, pp. 164-173, 2000.
P. L. Nunez, R. Srinivasan et al., Electric fields of the brain: the neurophysics of EEG, USA:Oxford University Press, 2006.
D. Denney and C. Denney, "The eye blink electro-oculogram", British journal of ophthalmology, vol. 68, no. 4, pp. 225-228, 1984.
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