Chenhao Zhang

Res-PGDnet: A time frequency fusion model with physiologically constrained adversarial training for PPG-based valence–arousal state classification

Accurate valence–arousal assessment is crucial for affective computing applications. Photoplethysmography (PPG) is a promising, practical modality for this task, but it poses challenges: signals are noise-prone, the physiological affect mapping is complex and subject-specific, an...