Affective computing

Emotion-Conditioned Deep Reinforcement Learning framework for adaptive music generation. Achieves 98% emotion mapping accuracy with 280ms real-time responsiveness, enabling dynamic musical.

Study investigating emotion-adaptive eco-feedback in personal assistants through co-design methodology, generating eight design concepts integrating emotion AI for home energy management.