Improved EEG-based emotion recognition through information enhancement in connectivity feature map

Electroencephalography (EEG), despite its inherited complexity, is a preferable brain signal for automatic human emotion recognition (ER), which is a challenging machine learning task with emerging applications. In any automatic ER, machine learning (ML) models classify emotions using the extracted...

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Detalles Bibliográficos
Autores principales: Akhand, M. A. H., Maria, Mahfuza Akter, Kamal, Md Abdus Samad, Murase, Kazuyuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447430/
https://www.ncbi.nlm.nih.gov/pubmed/37612354
http://dx.doi.org/10.1038/s41598-023-40786-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447430/
https://www.ncbi.nlm.nih.gov/pubmed/37612354
http://dx.doi.org/10.1038/s41598-023-40786-2

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