Unsupervised cross-modal knowledge transfer on FOG EMG → EEG (test)
87.55Balanced AccuracyOracle
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| OracleInput Modality=EMG, Trainable Parameters=-2025.10 | 87.55 | 87.58 | 87.6 | |
| KD-ContrastInput Modality=EEG, Trainable Parameters=5.8M2025.10 | 68.51 | 67.95 | 67.9 | |
| BioX-BridgeInput Modality=EEG, Trainable Parameters=0.7M2025.10 | 68.04 | 68.22 | 68.24 | |
| KDInput Modality=EEG, Trainable Parameters=5.8M2025.10 | 68.03 | 67.73 | 67.75 | |
| RandomInput Modality=-, Trainable Parameters=-2025.10 | 50 | 49.99 | 50.01 |