Deep Sparse Autoencoder and Recursive Neural Network for EEG Emotion Recognition

Recently, emotional electroencephalography (EEG) has been of great importance in brain–computer interfaces, and it is more urgent to realize automatic emotion recognition. The EEG signal has the disadvantages of being non-smooth, non-linear, stochastic, and susceptible to background noise. Additiona...

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Detalles Bibliográficos
Autores principales: Li, Qi, Liu, Yunqing, Shang, Yujie, Zhang, Qiong, Yan, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497873/
https://www.ncbi.nlm.nih.gov/pubmed/36141073
http://dx.doi.org/10.3390/e24091187

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497873/
https://www.ncbi.nlm.nih.gov/pubmed/36141073
http://dx.doi.org/10.3390/e24091187

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