Cognitive Load Classification on Driving Simulator Data
89.6AccuracyCNN-LSTM
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| CNN-LSTMInput Data=Driving simulator data only, Optimizer=Adam, Learning rate=0.001, Epochs=1000, Loss Function=Cross-entropy2024.07 | 89.6 | — | — | — | — | |
| Decision treesInput Data=Driving simulator data only2024.07 | 0.8726 | 87.26 | 87.26 | 87.26 | 90.56 | |
| k-NNInput Data=Driving simulator data only2024.07 | 0.5761 | 57.47 | 58.12 | 57.6 | 66.59 | |
| Nearest centroidInput Data=Driving simulator data only2024.07 | 0.3546 | 34.83 | 35.26 | 35.46 | 52.86 | |
| Naïve BayesInput Data=Driving simulator data only2024.07 | 0.3477 | 25.87 | 36.98 | 34.77 | 50.69 |