Analysis of Human Gait Cycle With Body Equilibrium Based on Leg Orientation

Gait analysis identifies the posture during movement in order to provide correct actions for a normal gait. A person’s gait may differ from others and can be recognized by specific patterns. Healthy individuals exhibit patterns, while lower limb amputees abnormal To better understand pitfalls of gait, it is imperative develop systems capable capturing patterns healthy individuals. The main objective this research was introduce new concept computing static dynamic equilibrium real-world environment. relationship also presented among parameters stated as & equilibrium, speed, body states. sensing unit installed on designed metal-based leg mounting assembly lateral side leg. An algorithm proposed based two variables: position space angle knee joint measured an IMU sensor rotary encoder. It acceptable satisfy conditions when fixed orientation, whether lying down or standing. While walking running, orientation determined variables, which fulfill condition. High speed reveals rapid change slow orientation. encoder-based feedback system successfully flexion at 47°, extension 153°, all seven cycle phases were within range motion. Body facilitates they are risk falling slipping.