An AI-Based Gait Authentication Framework Leveraging Swing Phase Dynamics

This research paper presents a gait authentication framework, a security system that identifies people based on how they walk. The framework focuses on swing phase dynamics (the movement patterns during the part of a walking cycle when one leg swings forward), using AI to analyze these patterns for authentication purposes. The paper appears to be a technical study on using biometric walking patterns as a security method, published in a digital threats research journal.