Gait Recognition MATLAB Code

Gait recognition is an emerging biometric technology that uses computer algorithms to analyze human walking patterns and identify individuals based on these analyses. Although this technology is still under development, it has generated considerable interest due to its wide-ranging applications. In security applications, gait recognition can be implemented in MATLAB using background subtraction techniques to extract moving silhouettes, followed by temporal normalization and feature extraction from gait cycles. The system can then employ pattern recognition algorithms to identify potential suspects in surveillance footage. For medical applications, MATLAB code can analyze gait parameters such as stride length, cadence, and joint angles using motion capture data. This enables clinicians to diagnose and monitor conditions like Parkinson's disease or musculoskeletal disorders through quantitative gait analysis. In automation and robotics, MATLAB implementations can process human gait data to help robots better understand human behavior. This involves developing algorithms for real-time gait prediction and adaptation, enabling improved human-robot interaction and service delivery through sophisticated pattern recognition and machine learning techniques.