Research Article
Monitoring Driving in a Monotonous Environment: Classification and Recognition of Driving Fatigue Based on Long Short-Term Memory Network
Table 7
Comparison of results between models.
| | LSTM | SVM [33] | Decision tree [17] | OL [34] | ANN [34] |
| Recognition rate of awake state | 100.0% | 96.7% | 55.71% | 50.0% | 47.9% | Recognition rate of mild fatigue | 93.1% | 89.7% | 64.65% | — | — | Recognition rate of moderate fatigue | 98.4% | 85.4% | — | 52.5% | 65.8% | Recognition rate of severe fatigue | 100.0% | 92.6% | 70.0% | 55.9% | 51.2% | Total recognition rate | 97.8% | 91.1% | 64.3% | 52.7% | 56.1% |
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Note. − indicates that the value was not assigned with any meaning for the related indicator.
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