Evaluation of Classical Features and Classifiers in Brain-Computer Interface Tasks

Abstract

Brain-Computer Interface (BCI) uses brain signals in order to provide a new method for communication between human and outside world. Feature extraction, selection and classification are among the main matters of concerns in signal processing stage of BCI. In this article, we present our findings about the most effective features and classifiers in some… (More)

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