Fatigue Classification on VPFD w/ EEG+ECG TimeMixer (evaluation)
92.86AccuracyHeterogeneous Multi-Source Fatigue Detection Framework
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=Transformer2025.07 | 92.86 | 93.04 | 97.88 | 97.71 | 92.85 | 92.85 | 6.38 | 6.5 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=LSTM2025.07 | 92.61 | 92.8 | 96.88 | 96.3 | 92.6 | 92.6 | 5.64 | 6.14 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=CNN1D2025.07 | 92.29 | 92.57 | 95.08 | 88.44 | 92.28 | 92.28 | 4.11 | 6.49 | |
| Heterogeneous Multi-Source Fatigue Detection FrameworkClassifier Architecture=MLP2025.07 | 87.8 | 88.69 | 95.39 | 93.66 | 87.73 | 87.73 | 5.39 | 8.37 |