Personalized Classifier Selection for EEG-Based BCIs

Personalized Classifier Selection for EEG-Based BCIs

The most important component of an Electroencephalogram (EEG) Brain–Computer Interface (BCI) is its classifier, which translates EEG signals in real time into meaningful commands. The accuracy and speed of the classifier determine the utility of the BCI. However, there is significant intra- and inte...

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Bibliographic Details
Main Authors: Javad Rahimipour Anaraki, Antonina Kolokolova, Tom Chau
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Series:Computers
Subjects:
EEG data
classification
algorithm portfolio
brain–computer interface
Online Access:https://www.mdpi.com/2073-431X/13/7/158

Internet

https://www.mdpi.com/2073-431X/13/7/158

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