Research Article
Driver Fatigue Detection Based on Facial Key Points and LSTM
Table 5
Fatigue detection accuracy in the YawDD dataset.
| Method | Fatigue detection accuracy (%) |
| MTCNN + DLIB | 79 | Head pose estimation [27] | 77 | Viola–Jones [30] | 82 | DLIB + LSTM | 74 | Proposed | 88 |
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