EEG-Based Emotion Classification Using Improved Cross-Connected Convolutional Neural Network

The use of electroencephalography to recognize human emotions is a key technology for advancing human–computer interactions. This study proposes an improved deep convolutional neural network model for emotion classification using a non-end-to-end training method that combines bottom-, middle-, and t...

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Detalles Bibliográficos
Autores principales: Dai, Jinxiao, Xi, Xugang, Li, Ge, Wang, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394254/
https://www.ncbi.nlm.nih.gov/pubmed/35892418
http://dx.doi.org/10.3390/brainsci12080977

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394254/
https://www.ncbi.nlm.nih.gov/pubmed/35892418
http://dx.doi.org/10.3390/brainsci12080977

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