EmoVerse introduces a specialized framework that improves how AI systems detect and interpret human emotions across different contexts.

• Addresses critical gaps in emotion recognition, particularly for subtle facial expressions
• Enables AI to perform complex tasks like emotion reason inference and long-context emotional understanding
• Demonstrates applications in mental health monitoring through depression detection
• Builds foundation for more empathetic human-computer interaction systems

This research has significant medical implications by enabling more accurate emotion analysis for mental health assessment, potentially improving early detection and monitoring of conditions like depression.

EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion Understanding