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: | , , , , |
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Formato: | article |
Lenguaje: | EN |
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Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/987fc71566b745dba95a44b8c054b909 |
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