Fatigue Classification on VPFD EEG+ECG MLP (evaluation)
92.12AccuracyHeterogeneous Multi-Source Fatigue Detection Framework
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=LSTM2025.07 | 92.12 | 91.6 | 96.9 | 86.97 | 76.67 | 76.75 | 8.46 | 15.82 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=MLP2025.07 | 91.13 | 90.8 | 96.2 | 89.47 | 81.39 | 81.45 | 10.48 | 14.04 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=CNN1D2025.07 | 88.43 | 87.9 | 94.4 | 86.39 | 79.58 | 79.67 | 11.01 | 15.41 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=Transformer2025.07 | 85.03 | 86.34 | 92.2 | 91.83 | 84.9 | 84.95 | 13.01 | 13.86 |