Multimodal Emotion Recognition and GWO Optimization

Created using ChatSlide

This project addresses the limitations of traditional emotion recognition methods by integrating face, body, voice, and text data. It defines six target emotions and employs a five-layer pipeline for processing inputs through advanced techniques like GWO Fusion and MLP classifiers. The study explores feature fusion methods, optimization strategies, and presents experimental results, including benchmark comparisons and confusion matrices. A real-time demo showcases the Cyber Dark Mode...