MATLAB Code Implementation for Gait Recognition

This MATLAB program provides a comprehensive implementation for gait recognition, complete with fully functional AdaBoost algorithm code. Gait recognition technology analyzes human walking patterns and characteristics to identify individuals, assess health conditions, and extract other relevant biometric information. The AdaBoost (Adaptive Boosting) algorithm implemented here is a machine learning approach that enhances gait recognition accuracy by combining multiple weak classifiers into a strong classifier. The code includes detailed implementation of key functions such as feature extraction from gait sequences, weak classifier training, and adaptive weight updating mechanisms. Comprehensive inline comments and documentation are provided to facilitate understanding of the algorithmic workflow, including data preprocessing steps, classifier training loops, and performance evaluation metrics. The implementation demonstrates practical integration of machine learning techniques with biometric analysis for robust pattern recognition applications.