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...

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Autores principales: Pengwei Zhang, Chongdan Min, Kangjia Zhang, Wen Xue, Jingxia Chen
Formato: article
Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
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EEG
Acceso en línea:https://doaj.org/article/987fc71566b745dba95a44b8c054b909
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