Gait Analysis With Smart Shoe Insole
Authors: Emely Villa, Dylan Thai
Faculty Supervisor: David Quintero
Department: Engineering
The gait cycle is an analysis of intricate movements of an individual's hips, pelvis, legs, and upper body, harmonizing them to establish a seamless and efficient walking or running pattern. This process is crucial, as deviations can signify underlying neurological disorders, musculoskeletal conditions, or abnormalities. To address this, we aim to develop a wearable shoe insole sensor equipped with embedded force-sensitive resistors, providing real-time pressure sensory feedback for personalized gait cycle rehabilitation. Using Simulink, we track gait analysis in real time, utilizing its programming environment to capture the force exerted on each FSR within the insole. From these inputs, we can derive the Ground Reaction Force (GRF) and Center of Pressure (COP), crucial for assistive healthcare. In contrast to current methodologies reliant on specialized training and motion capture laboratories, our approach offers a user-friendly and accessible solution that can be easily implemented at home, requiring minimal expertise.