OpenBMI
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Hybrid MI-SSVEP Classification | OpenBMI | Accuracy64.92 | 15 | |
| Steady-State Visual Evoked Potential Classification | OpenBMI | Accuracy93.71 | 15 | |
| Classification | OpenBMI | Accuracy86.05 | 13 | |
| Motor Imagery | OpenBMI | Accuracy82.89 | 12 | |
| SSVEP Recognition | OpenBMI-SSVEP | B.Acc94.62 | 9 | |
| Motor Imagery | OpenBMI MI | B.Acc82.74 | 9 | |
| MI-EEG decoding | OpenBMI (test) | Accuracy79.51 | 8 | |
| Motor Imagery Classification | OPENBMI | Accuracy (All features)62 | 4 |
Showing 8 of 8 rows