Sign Up to like & get
recommendations!
1
Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.09.053
Abstract: In this paper, we propose multiple kernel learning (MKL) based on three discriminant features to learn an efficient P300 classifier to improve the accuracy of character recognition in a P300 speller BCI. Three discriminant features…
read more here.
Keywords:
speller bci;
three discriminant;
p300 speller;
discriminant feature ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2933049
Abstract: Electroencephalography-based brain computer interface systems could provide alternative communication methods for severely disabled people who cannot use their neuromuscular systems. The P300 signal is one of the event related potentials that are used for brain…
read more here.
Keywords:
based p300;
region based;
p300 speller;
Sign Up to like & get
recommendations!
1
Published in 2018 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2018/4089021
Abstract: This work is intended to increase the classification accuracy of single EEG epoch, reduce the number of repeated stimuli, and improve the information transfer rate (ITR) of P300 Speller. Target EEG epochs and nontarget EEG…
read more here.
Keywords:
wavelet;
p300 speller;
feature extraction;
parallel computing ... See more keywords
Sign Up to like & get
recommendations!
1
Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0265904
Abstract: The event related P300 potentials, positive waveforms in electroencephalography (EEG) signals, are often utilized in brain computer interfaces (BCI). Many studies have been carried out to improve the performance of P300 speller systems either by…
read more here.
Keywords:
column;
proposed paradigm;
paradigm;
p300 speller ... See more keywords