Complete Facial Expression Recognition System Source Code with LBP Algorithm

This is a comprehensive facial expression recognition system source code that employs Local Binary Pattern (LBP) algorithm for feature extraction and classification. The system features a MATLAB-developed graphical user interface that provides intuitive operation and real-time visualization capabilities. Key implementation details include LBP feature extraction from facial regions, histogram calculation for texture analysis, and machine learning classification for emotion categorization. The system can effectively analyze facial expressions to detect emotional states, making it valuable across multiple applications. In human-computer interaction, it enables automatic user emotion recognition to deliver smarter, personalized services. For psychological research, it facilitates exploration of relationships between human emotions and behaviors. Additionally, the system possesses significant educational and entertainment value, suitable for developing interactive games and virtual reality applications. By accessing this source code, developers can thoroughly understand facial expression recognition principles, examine the complete LBP implementation pipeline, and perform custom modifications including parameter tuning, algorithm enhancements, and integration with other computer vision libraries.