3-class movement classification on EEG-EMG Inter-subject split
99.4AccuracyFMCA-T
Evaluation results
| Method | Links | |
|---|---|---|
| FMCA-TLearning paradigm=EEG-EMG Dependence2024.10 | 99.4 | |
| CSP-RLDALearning paradigm=Supervised, Evaluation protocol=Individual subjects2024.10 | 98.5 | |
| FMCA-LDLearning paradigm=EEG-EMG Dependence2024.10 | 98.5 | |
| EEG-ConformerLearning paradigm=Supervised2024.10 | 94.9 | |
| VanillaLearning paradigm=Supervised2024.10 | 90.7 | |
| EEGNetLearning paradigm=Supervised2024.10 | 90.4 | |
| Deep4Learning paradigm=Supervised2024.10 | 90.1 | |
| VicRegLearning paradigm=Self-Supervised2024.10 | 89.9 | |
| Barlow TwinsLearning paradigm=Self-Supervised2024.10 | 89.3 | |
| SimCLRLearning paradigm=Self-Supervised2024.10 | 89 | |
| FMCA-TLearning paradigm=EEG-EMG Dependence2024.10 | 54 | |
| FMCA-LDLearning paradigm=EEG-EMG Dependence2024.10 | 50.9 | |
| VicRegLearning paradigm=Self-Supervised2024.10 | 44.9 | |
| SimCLRLearning paradigm=Self-Supervised2024.10 | 44.1 | |
| Barlow TwinsLearning paradigm=Self-Supervised2024.10 | 43.7 | |
| Deep4Learning paradigm=Supervised2024.10 | 42.9 | |
| VanillaLearning paradigm=Supervised2024.10 | 42.7 | |
| EEG-ConformerLearning paradigm=Supervised2024.10 | 41.5 | |
| CSP-RLDALearning paradigm=Supervised2024.10 | 40.8 | |
| EEGNetLearning paradigm=Supervised2024.10 | 40.5 |