Development of real-time gait phase detection system for a lower extremity exoskeleton robot

Abstract

In this paper, we develop an insole sensor system that can determine various dynamic models of a lower extremity exoskeleton. The study analyzed the kinematic model of exoskeleton robot for lower limb that changes according to the gait phase detection of a human. Based on the ground reaction force (GRF) that is generated when walking, the sensing type, location, and the number of sensors were selected to proceed on insole sensor development. Using the COP, an algorithm was developed that is capable of detecting gait phase with small number of sensors. An experiment was conducted to evaluate the developed insole sensor system and the gait phase detection algorithm.