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,” “Verification of Adaptive Collection for BCI” and "BCI using Silent Speech for Speech Assistive Device".

For more information about BCI/EEG press here.