BCI Competition
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Motor Imagery Classification | BCI Competition 2a IV | Accuracy drop0 | 18 | |
| Motor Imagery Decoding | BCI Competition IV 2a I (cross-subject) | Average Accuracy86.17 | 17 | |
| Motor Imagery Classification | BCI Competition IV-2b Dataset I (cross-subject) | Average Accuracy80.83 | 15 | |
| Finger trajectory decoding | BCI Competition IV dataset 4 (val) | Average Score0.67 | 7 | |
| Imagined Speech Classification | BCI Competition III dataset 2020 (test) | Accuracy0.8013 | 6 | |
| EEG Signal Classification | BCI Competition IV 2a | Subject 1 Accuracy87.68 | 6 | |
| EEG Denoising | BCI Competition IV-2b (test) | Correlation Coefficient (CC)0.777 | 5 | |
| EEG Denoising | BCI Competition IV-2a (test) | CC0.736 | 5 | |
| Motor Imagery Classification | BCI Competition IV 2b | F1-score69.3 | 3 |
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