Stress Classification on StressID (5-fold subject-wise cross-val)
90.8AUROCTransformer-based temporal modeling framework
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| Transformer-based temporal modeling frameworkModality=facial features, Fusion Strategy=Unimodal2026.01 | 90.8 | 91.5 | 84.8 | 84.12 | 84.07 | |
| Transformer-based temporal modeling frameworkModality=facial features + Bio, Fusion Strategy=Early Fusion (EF)2026.01 | 90.1 | 91.8 | 83.2 | 83.1 | 83.5 | |
| SVMModality=facial features, Window size=9s, Classifier=SVM2026.01 | 89.3 | 90.3 | 84.2 | 82.9 | 82.6 | |
| SVMModality=facial features + Bio, Fusion Strategy=Early Fusion (EF), Window size=9s, Classifier=SVM2026.01 | 89.3 | 90.3 | 84 | 82.7 | 82.4 | |
| MLPModality=facial features + Bio, Fusion Strategy=Early Fusion (EF), Architecture=Fully-connected2026.01 | 87.57 | 89.21 | 81.48 | 80.51 | 80.46 | |
| MLPModality=facial features, Architecture=Fully-connected2026.01 | 87.1 | 88.9 | 82.2 | 81 | 80.9 | |
| kNNModality=facial features + Bio, Fusion Strategy=Early Fusion (EF), Window size=9s, Classifier=kNN2026.01 | 85.6 | 84.9 | 81.2 | 79.7 | 79.5 | |
| kNNModality=facial features, Window size=9s, Classifier=kNN2026.01 | 84.8 | 84.3 | 80.3 | 79 | 78.9 |