CATM: A Multi-Feature-Based Cross-Scale Attentional Convolutional EEG Emotion Recognition Model
Aiming at the problem that existing emotion recognition methods fail to make full use of the information in the time, frequency, and spatial domains in the EEG signals, which leads to the low accuracy of EEG emotion classification, this paper proposes a multi-feature, multi-frequency band-based cros...
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| Hoofdauteurs: | , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
MDPI AG
2024-07-01
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| Reeks: | Sensors |
| Onderwerpen: | |
| Online toegang: | https://www.mdpi.com/1424-8220/24/15/4837 |
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