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Optimizing Residual Networks and VGG for Classification of EEG Signals: Identifying Ideal Channels for Emotion Recognition

Emotion is a crucial aspect of human health, and emotion recognition systems serve important roles in the development of neurofeedback applications. Most of the emotion recognition methods proposed in previous research take predefined EEG features as input to the classification algorithms. This pape...

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Detalles Bibliográficos
Autores principales: Cheah, Kit Hwa, Nisar, Humaira, Yap, Vooi Voon, Lee, Chen-Yi, Sinha, G. R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024101/
https://www.ncbi.nlm.nih.gov/pubmed/33859808
http://dx.doi.org/10.1155/2021/5599615