Personalized Multimodal Emotion Prediction

In this research, we introduce a personalized emotion prediction model that focuses on four key emotions: happy, sad, neutral, and angry. What makes this model special is its ability to adapt to each individual user, learning from how they personally express emotions and adjusting the importance of each modality accordingly.