Research Article
On Fatigue Detection for Air Traffic Controllers Based on Fuzzy Fusion of Multiple Features
Table 2
Performance comparison between different methods.
| | Our method | Work by Zhang et al. [18] | Work by Nie et al. [19] | Work by Gu et al. [20] | LR | SVM | KNN | LR | SVM | KNN | LR | SVM | KNN |
| Precision | 97% | 85% | 85% | 88% | 85% | 86% | 89% | 0.83% | 85% | 73% | Accuracy | 97% | 84% | 84% | 88% | 85% | 85% | 88% | 82% | 82% | 71% | Recall | 97% | 86% | 86% | 89% | 85% | 85% | 89% | 83% | 85% | 70% | score | 97% | 85% | 85% | 88% | 85% | 85% | 89% | 83% | 83% | 70% | AUC | 0.99 | 0.93 | 0.93 | 0.92 | 0.93 | 0.93 | 0.92 | 0.91 | 0.91 | 0.83 |
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