A novel AI-driven EEG images emotion recognition generalized classification model for cross-subject analysis
AI algorithms can effectively perform encoding and decoding analysis on Electroencephalography (EEG) signals, which are widely used in emotion recognition due to their ability to reflect brain activity characteristics. However, the significant inter-individual variability in EEG signals complicates...
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| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Elsevier Ltd
2025
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| Online Access: | http://psasir.upm.edu.my/id/eprint/120630/1/120630.pdf http://psasir.upm.edu.my/id/eprint/120630/ https://linkinghub.elsevier.com/retrieve/pii/S1474034625006378 |
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