R1-Omni represents the first application of Reinforcement Learning with Verifiable Reward (RLVR) to multimodal emotion recognition, integrating both visual and audio inputs.

Key Innovations:

• Optimizes large language models specifically for emotion recognition tasks
• Enhances three critical capabilities: reasoning, accuracy, and generalization
• Leverages both visual and audio cues for comprehensive emotional analysis
• Provides explainable results through reinforcement learning approach

Medical Applications: This technology offers significant potential for mental health assessment, patient monitoring, and emotional state tracking in clinical settings, enabling more nuanced and accurate patient care through improved emotion recognition.

R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning