Silent EEG-Speech Recognition Using Convolutional and Recurrent Neural Network with 85% Accuracy of 9 Words Classification

In this work, we focus on silent speech recognition in electroencephalography (EEG) data of healthy individuals to advance brain–computer interface (BCI) development to include people with neurodegeneration and movement and communication difficulties in society. Our dataset was recorded from 270 hea...

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Detalles Bibliográficos
Autores principales: Vorontsova, Darya, Menshikov, Ivan, Zubov, Aleksandr, Orlov, Kirill, Rikunov, Peter, Zvereva, Ekaterina, Flitman, Lev, Lanikin, Anton, Sokolova, Anna, Markov, Sergey, Bernadotte, Alexandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541074/
https://www.ncbi.nlm.nih.gov/pubmed/34695956
http://dx.doi.org/10.3390/s21206744

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8541074/
https://www.ncbi.nlm.nih.gov/pubmed/34695956
http://dx.doi.org/10.3390/s21206744

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