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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Main Authors: | Pengwei Zhang, Chongdan Min, Kangjia Zhang, Wen Xue, Jingxia Chen |
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Format: | article |
Language: | EN |
Published: |
Frontiers Media S.A.
2021
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Subjects: | |
Online Access: | https://doaj.org/article/987fc71566b745dba95a44b8c054b909 |
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