Lower Body Gait Kinematics Estimation Using Foot Kinetics

This research proposes a Wavelet Neural Network based lower body joint angle estimation protocol using foot kinetics. The project reduces reliance on multiple body-mounted sensors and sets a future trend for gait monitoring. This is achieved through feature extraction of Ground Reaction Forces of primary gait events. Users will be able to acquire a full lower body kinematics profile by only using foot kinetics of preliminary gait events. The estimation model is a fast and easy tool, that is beneficial for clinicians to monitor gait in outdoor environments on daily basis to identify and monitor gait disorders.