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A Review of the Role of Machine Learning Techniques towards Brain–Computer Interface Applications
2021
Machine Learning and Knowledge Extraction
This review article provides a deep insight into the Brain–Computer Interface (BCI) and the application of Machine Learning (ML) technology in BCIs. It investigates the various types of research undertaken in this realm and discusses the role played by ML in performing different BCI tasks. It also reviews the ML methods used for mental state detection, mental task categorization, emotion classification, electroencephalogram (EEG) signal classification, event-related potential (ERP) signal
doi:10.3390/make3040042
fatcat:nlhi7qtlcffphpoyvytvql2bmy