MATLAB Gesture Detection and Recognition System

Application Background This gesture recognition simulation program provides an ideal platform for beginners to learn MATLAB programming language. After mastering the core implementation, users can extend the system's capabilities by adding more features for algorithm verification and practical application development to meet diverse requirements. Key Technology The program implements contemporary image recognition algorithms, particularly Principal Component Analysis (PCA) and feature extraction methods, to isolate and identify regions of interest within images and interpret their semantic meaning. The implementation involves preprocessing steps including image segmentation and feature dimension reduction using PCA. The recognition process employs feature matching techniques where extracted features are compared against a trained database using similarity measures like Euclidean distance or correlation coefficients. This approach significantly improves recognition accuracy and system reliability through robust pattern matching algorithms.