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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |