The Function of Machine Learning BCI Classifiers

Abstract

Recently, machine learning(ML) has become a hot issue, and most brain-computer interface(BCI) systems contains machine learning structured classifiers. The classifiers are designed to process the selected feature and send the most possible signal user generates to the reception device. However, its not easy to realize without some advanced ML methods. This survey mainly focuses on some effective ML means to classify features, including state-of-the- art invention: MDM classifier. Moreover, we propose some promising directions to further research this topic.