Open AccessReview on EEG-BCI classification techniques advancements
Author(s) -
Ravichander Janapati,
Viswas Dalal,
N. Govardhan,
Rakesh sen gupta
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/981/3/032019
Subject(s) - brain–computer interface , electroencephalography , computer science , interface (matter) , human–computer interaction , relevance (law) , artificial intelligence , speech recognition , psychology , neuroscience , bubble , maximum bubble pressure method , parallel computing , political science , law
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.