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). 
Mariko Matsumoto is one of the researches dedicated to this area published last year two papers: “Silent speech decoder using adaptive collection,” and “Verification of Adaptive Collection for BCI”. His other work "BCI using Silent Speech for Speech Assistive Device" is available here.


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