Comparative analysis of two-group supervised classification algorithms in the study of P300-based brain-computer interface

The main goal of the paper is to perform a comparative accuracy analysis of the two-group classification of EEG data collected during the P300-based brain-computer interface tests. The brain-computer interface is a technology that allows establishing communication between a human brain and external...

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Bibliographic Details
Main Authors: Plechawska-Wójcik Małgorzata, Kaczorowska Monika, Michalik Bernadetta
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201925203010