Motor Imagery Decoding on Dataset II (cross-subject)
80.52Subject Accuracy (S1)BFM-MSDA
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| BFM-MSDAEvaluation Protocol=Cross-subject2025.07 | 80.52 | 73.53 | 85.15 | 74.48 | 81.42 | 75.51 | 72.05 | 73.15 | 92.75 | 75.52 | 78.41 | 0.5682 | |
| ASJDAEvaluation Protocol=Cross-subject2025.07 | 79.03 | 69.72 | 78.16 | 69.52 | 67.46 | 72.56 | 64.68 | 78.5 | 89.15 | 72.42 | 74.12 | 0.4824 | |
| DJDANEvaluation Protocol=Cross-subject2025.07 | 78.36 | 70.87 | 80.53 | 72.73 | 74.67 | 80.27 | 74.38 | 74.54 | 90.12 | 70.94 | 76.74 | 0.5348 | |
| JANEvaluation Protocol=Cross-subject2025.07 | 78.27 | 71.38 | 80.72 | 73.75 | 79.46 | 76.84 | 73.05 | 70.3 | 87.35 | 70.28 | 76.14 | 0.5228 | |
| ConformerEvaluation Protocol=Cross-subject2025.07 | 77.62 | 71.01 | 78.8 | 74.12 | 78.99 | 66.83 | 74.09 | 71.09 | 81.92 | 69.69 | 74.42 | 0.4883 | |
| DJP-MMDEvaluation Protocol=Cross-subject2025.07 | 76.31 | 74.43 | 78.26 | 71.85 | 73.62 | 77.94 | 70.22 | 71.43 | 82.45 | 71.52 | 74.8 | 0.4961 | |
| GATEvaluation Protocol=Cross-subject2025.07 | 76.25 | 71.36 | 83.73 | 69.32 | 77.45 | 75.73 | 74.84 | 72.84 | 90.45 | 73.64 | 76.56 | 0.5312 | |
| ShallowConvNetEvaluation Protocol=Cross-subject2025.07 | 73.92 | 67.63 | 75.05 | 71.55 | 75.23 | 63.65 | 70.56 | 67.7 | 78.02 | 66.37 | 70.97 | 0.4194 | |
| EEGNetEvaluation Protocol=Cross-subject2025.07 | 66.57 | 60.96 | 82.7 | 70.14 | 73.89 | 59.05 | 55.68 | 63.56 | 88.29 | 65.06 | 68.59 | 0.3718 | |
| CBraMod w/ LinearEvaluation Protocol=Cross-subject2025.07 | 61.37 | 57.09 | 66.98 | 55.45 | 61.96 | 60.58 | 59.87 | 58.27 | 72.36 | 58.91 | 61.29 | 0.2257 | |
| LaBraM w/ LinearEvaluation Protocol=Cross-subject2025.07 | 56.72 | 55.68 | 64.34 | 58.63 | 62.37 | 60.28 | 57.41 | 60.46 | 66.34 | 57.15 | 59.94 | 0.1988 |