Graph-based multimodal affect recognition in children using prototypical networks
Gend Lal Prajapati
IntroductionAlthough physiological signals such as heart rate, perspiration, and facial muscle activity are recognized as markers of emotional events, precisely classifying affective states from these data remains a significant challenge. Addressing this issue is fundamental for developing advanced human-computer interaction and assistive technologies. While emotion recognition in adults has been extensively studied, it is less understood in children, necessitating focused research.MethodsThis s