Fatigue Classification on VPFD w/ ECG MLP (evaluation)
86.99AccuracyHeterogeneous Multi-Source Fatigue Detection Framework
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=LSTM2025.07 | 86.99 | 86.2 | 93.2 | 88.36 | 80.67 | 80.78 | 7.76 | 13.66 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=MLP2025.07 | 84.14 | 83.4 | 90.6 | 86.9 | 75.51 | 75.7 | 7.78 | 14.97 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=Transformer2025.07 | 81.75 | 82.93 | 88.16 | 95.01 | 88.88 | 88.92 | 9.76 | 10.15 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=CNN1D2025.07 | 81.55 | 80.6 | 88.8 | 88.41 | 79.81 | 79.92 | 6.74 | 13.88 |