Review on EEG-BCI classification techniques advancements

Ravichander Janapati, Viswas Dalal, N. Govardhan, Rakesh sen gupta

2020IOP Conference Series Materials Science and Engineering25 citationsDOI Open Access PDF

Abstract

Abstract A BCI is a system of hardware and software integrated as an interface between the brain and the computer. A BCI translates the EEG signals, originating from the brain, into computer commands, commands that help the user interact with the external real world in a useful manner. The possibility that EEG signals can translated into any open-ended computer command, opened endless possibility. What a person can do with EEG-based BCI is now just limited by imagination. This paper will discuss advances in the practical aspects of different classifiers for EEG-based BCI, as well as the theoretical advances in signal processing and user relevance of these advance in EEG-based BCI in real-time applications.

Topics & Concepts

Brain–computer interfaceElectroencephalographyComputer scienceInterface (matter)Human–computer interactionRelevance (law)Artificial intelligenceSpeech recognitionPsychologyNeurosciencePolitical scienceBubbleMaximum bubble pressure methodLawParallel computingEEG and Brain-Computer InterfacesECG Monitoring and AnalysisNeuroscience and Neural Engineering