Fatigue Classification on VPFD w/ EEG (MLP) (evaluation)
88.77AccuracyHeterogeneous Multi-Source Fatigue Detection Framework
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=LSTM2025.07 | 88.77 | 88.1 | 94 | 83.32 | 77.14 | 77.14 | 7.97 | 15.66 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=Transformer2025.07 | 84.98 | 84.98 | 89.81 | 81.63 | 78.19 | 78.2 | 19.1 | 19.88 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=MLP2025.07 | 84.13 | 83.3 | 90.7 | 82.51 | 76.59 | 76.59 | 7.32 | 16.35 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=CNN1D2025.07 | 81.75 | 80.9 | 89.1 | 84.16 | 76.22 | 76.22 | 7.51 | 16.22 |