Emotion Recognition Using Hierarchical Spatiotemporal Electroencephalogram Information from Local to Global Brain Regions

To understand human emotional states, local activities in various regions of the cerebral cortex and the interactions among different brain regions must be considered. This paper proposes a hierarchical emotional context feature learning model that improves multichannel electroencephalography (EEG)-...

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Detalles Bibliográficos
Autores principales: Jeong, Dong-Ki, Kim, Hyoung-Gook, Kim, Jin-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525488/
https://www.ncbi.nlm.nih.gov/pubmed/37760143
http://dx.doi.org/10.3390/bioengineering10091040

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525488/
https://www.ncbi.nlm.nih.gov/pubmed/37760143
http://dx.doi.org/10.3390/bioengineering10091040

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