Dynamic Human Gait Phase Detection Algorithm

Human foot motion localization based on Inertial Measurement Unit (IMU) sensor especially in large environments has many potential applications such as search and rescue in fire or in emergency, navigation for visitor and security purposes, etc. However, current existing algorithms are so far from practical applications. Because they usually apply a fixed threshold for human gait phase detection, they can not work with different speeds of human motion in real-time practical applications. In this paper, we propose a Dynamic Gait Phase (DGP) detection algorithm for different speeds of human foot motion. Our DGP detection algorithm can recognize accurate detection of the stance and swing phases of human gait in different foot motion speeds. This advantage supports to estimate accurately the human foot position in a real-time manner. The DGP detection algorithm has been validated by the Motion Tracking System (Ground Truth). Experimental results have been conducted to detect the stance and swing phases of the human gait with dynamic speeds of human foot motion.