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...
| Главные авторы: | , , , , |
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
Frontiers Media S.A.
2021-12-01
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| Серии: | Frontiers in Neuroscience |
| Предметы: | |
| Online-ссылка: | https://www.frontiersin.org/articles/10.3389/fnins.2021.738167/full |