Fatigue Classification on VPFD w/ ECG (TimeMixer) (test)
92.56AccuracyHeterogeneous Multi-Source Fatigue Detection Framework
Evaluation Results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=Transformer2025.07 | 92.56 | 92.54 | 97.45 | 97.3 | 92.56 | 92.56 | 6.32 | 6.78 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=CNN1D2025.07 | 90.84 | 91.06 | 95.68 | 93.94 | 90.84 | 90.84 | 3.93 | 7.01 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=LSTM2025.07 | 88.98 | 90.05 | 94.39 | 91.88 | 88.85 | 88.86 | 5.84 | 8.65 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=MLP2025.07 | 85.4 | 86.73 | 93.96 | 91.83 | 85.25 | 85.25 | 5.18 | 9.8 |