Emotion and Engagement Detection Using Behavioral Inputs: Gesture and Touch Interaction Data

Natural behaviors for expressing emotion are utilized in gesture and touch for emotion detection, in real time, and reshaping human computer interaction. System can dynamically adapt because deep learning and multimodal fusion are advanced, and experiences in education, gaming, healthcare and customer service benefit. One of the challenges however remains with their variability in the culture and privacy concern. These technologies of ethical AI, federated learning and edge computing are bringing more emotional intelligence, intuition and intention into digital systems in an increasingly variety of applications.