Affective Computing Algorithms

Machine learning models designed to detect, interpret, and respond to human emotions. By analyzing multimodal data sources such as facial micro-expressions, voice intonation, and physiological signals (HRV, skin conductance), these algorithms enable systems to adapt their behavior in real-time to the user's emotional state.