Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Meili, Wang, Qingqing, Luo, Jianglin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
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