Based Gait

Based gait analysis uses an individual's walking pattern as a biometric identifier, aiming to improve accuracy and robustness in person recognition and authentication systems. Current research focuses on developing sophisticated algorithms, including memory-augmented progressive learning and domain adaptation techniques, to address challenges like variations in gait due to clothing, speed, and sensor type (e.g., cameras, IMUs, radar). This field is significant for its potential in security applications (e.g., access control, surveillance) and offers advantages in privacy-preserving biometric identification compared to other methods.