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Emotion Recognition Based on Dynamic Energy Features Using a Bi-LSTM Network

Among electroencephalogram (EEG) signal emotion recognition methods based on deep learning, most methods have difficulty in using a high-quality model due to the low resolution and the small sample size of EEG images. To solve this problem, this study proposes a deep network model based on dynamic e...

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Detalles Bibliográficos
Autores principales:	Zhu, Meili, Wang, Qingqing, Luo, Jianglin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8900638/ https://www.ncbi.nlm.nih.gov/pubmed/35264939 http://dx.doi.org/10.3389/fncom.2021.741086

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