Hierarchical Spatiotemporal Electroencephalogram Feature Learning and Emotion Recognition With Attention-Based Antagonism Neural Network

Inspired by the neuroscience research results that the human brain can produce dynamic responses to different emotions, a new electroencephalogram (EEG)-based human emotion classification model was proposed, named R2G-ST-BiLSTM, which uses a hierarchical neural network model to learn more discrimina...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Pengwei, Min, Chongdan, Zhang, Kangjia, Xue, Wen, Chen, Jingxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675710/
https://www.ncbi.nlm.nih.gov/pubmed/34924927
http://dx.doi.org/10.3389/fnins.2021.738167

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675710/
https://www.ncbi.nlm.nih.gov/pubmed/34924927
http://dx.doi.org/10.3389/fnins.2021.738167

Ejemplares similares