Eeg On Seed Iv
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| BiHDM | 74.35 | A Novel Bi-hemispheric Discrepancy Model for EEG Emotion Recognition | - |
| DBN | 66.77 | Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks | - |
| DGCNN | 69.88 | EEG emotion recognition using dynamical graph convolutional neural networks | - |
0 of 3 row(s) selected.