Brain-Computer Interface (BCI) research are emerging in the last few years providing non-invasive, wireless and low-cost ElectroEncephaloGraphy (EEG) devices. The increasing study of neurosciences and the need to respond to specific human brain diseases are two important factors to this evolution.
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Tuesday, December 15, 2015
Silent Speech EEG Classification
Silent Speech Classification is a very interesting BCI research using a large number of electrodes where several methods are applied as Adaptive Collection, Common Spatial Patterns (CSP), Support Vector Machine with Gaussian kernel (SVM-G) and Relevance Vector Machine with Gaussian kernel (RVM).