Emotion Classification from Multi-Band Electroencephalogram Data Using Dynamic Simplifying Graph Convolutional Network and Channel Style Recalibration Module

Because of its ability to objectively reflect people’s emotional states, electroencephalogram (EEG) has been attracting increasing research attention for emotion classification. The classification method based on spatial-domain analysis is one of the research hotspots. However, most previous studies...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Xiaoliang, Liu, Gendong, Zhao, Liang, Rong, Wenting, Sun, Junyi, Liu, Ran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964605/
https://www.ncbi.nlm.nih.gov/pubmed/36850512
http://dx.doi.org/10.3390/s23041917

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9964605/
https://www.ncbi.nlm.nih.gov/pubmed/36850512
http://dx.doi.org/10.3390/s23041917

Ejemplares similares