Simulation of human gait for design of lower extremity exoskeletons – A review

Abstract

Abstract Several computational models have been conceptualized to mimic the complex mechanism of the human body and its anthropometry. In turn, these models have driven the advancements in dynamic simulations of human gait which are employed for orthosis and rehabilitation studies. In this review, we investigate the recent developments in human modeling for dynamic gait simulation concerned with rehabilitation purposes. We present an overview of the conventional methodologies used for human modeling, and emphasize on use of a recently developed open-source deep-learning based human model for accurate gait analysis. Lastly, we provide a physiological perspective on the scopes of improvement in the existing human models and the inverse dynamics simulations done using them.