FACED
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Emotion Recognition | FACED 9-Class | Balanced Accuracy69.48 | 17 | |
| EEG Classification | FACED | Binary Accuracy56.95 | 13 | |
| EEG Emotion Recognition | FACED | Balanced Accuracy60.66 | 11 | |
| Emotion Recognition | FACED 9-class original | Accuracy64.5 | 11 | |
| Emotion Recognition | FACED 9-Class (test) | Balanced Accuracy63.52 | 10 | |
| Unsupervised Continual Learning | FACED | Accuracy (ACC)55.6 | 10 | |
| Multi-class classification | FACED 9-Class (test) | Cohen's Kappa0.5406 | 10 | |
| Emotion Recognition | FACED | Accuracy81.19 | 10 | |
| Emotion Recognition | FACED | Balanced Accuracy58.19 | 9 | |
| Emotion Recognition | FACED (test) | Balanced Accuracy56.95 | 6 | |
| Cross-subject emotion recognition | FACED 2 | Accuracy79.5 | 4 | |
| Brain Signal Valence Prediction | FACED (cohort) | Pearson r0.8 | 1 |
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