Table 2.
Subject-Dependent Results. Subject-dependent results for subjects 1, 2, and 3. This setting aims to determine whether the model can learn specific features from brain activities. The bold value stands for the best result among all models.
| Modality | Models | Accuracy | Precision | Recall | F1 | AUROC |
|---|---|---|---|---|---|---|
| fNIRS | SVM | |||||
| RF | ||||||
| KNN | ||||||
| Resnet50 | ||||||
| VGG16 | ||||||
| EF-Net | ||||||
| EEG | SVM | |||||
| RF | ||||||
| KNN | ||||||
| Resnet50 | ||||||
| VGG19 | ||||||
| EF-Net | ||||||
| fNIRS+EEG | SVM | |||||
| RF | ||||||
| KNN | ||||||
| V16 + R50 | ||||||
| V16 + V19 | ||||||
| EF-Net |