Table 2 Classification Performance of Emotion Valence and Arousal Across Different Modalities (EEG, ECG, and PI).
From: An Enhanced Valence-Arousal Multimodal Emotion Dataset for Emotion Recognition
| Â | Data Type | EEG | ECG | PI | |||
|---|---|---|---|---|---|---|---|
>ACC | F1-score | >ACC | F1-score | >ACC | F1-score | ||
SVM | Valence | 74.00% | 0.73 | 45.08% | 0.45 | 48.78% | 0.48 |
Arousal | 77.12% | 0.75 | 70.83% | 0.7 | 64.86% | 0.73 | |
Decision Tree | Valence | 61.89% | 0.61 | 45.87% | 0.46 | 37.01% | 0.36 |
Arousal | 72.74% | 0.69 | 76.67% | 0.76 | 57.84% | 0.69 | |
Random Forest | Valence | 81.72% | 0.81 | 33.90% | 0.33 | 48.47% | 0.47 |
Arousal | 80.97% | 0.76 | 75.83% | 0.75 | 65.96% | 0.77 | |
XGBoost | Valence | 80.69% | 0.8 | 42.11% | 0.41 | 50.12% | 0.49 |
Arousal | 90.17% | 0.89 | 81.67% | 0.81 | 67.00% | 0.76 | |
MLP | Valence | 44.51% | 0.43 | 67.03% | 0.56 | 43.12% | 0.44 |
Arousal | 77.10% | 0.67 | 82.50% | 0.82 | 63.17% | 0.74 | |
1dCNN | Valence | 90.46% | 0.9 | 81.60% | 0.82 | 73.23% | 0.76 |
Arousal | 93.44% | 0.91 | 86.65% | 0.89 | 73.92% | 0.76 | |
