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Jon Stingel

Simulations can be used to efficiently design assistive devices aimed at improving mobility in patients who have lost it. Assistive devices are often evaluated based on the amount of energy the user expends while using them, but current models of energy expenditure are lacking accuracy. My research focuses on improving these estimates of muscle energy expenditure and understanding how energy expenditure can be influenced by assistive devices to improve mobility. I utilize computational multibody dynamics tools and machine learning techniques to evaluate motions such as walking, and improve estimates of energy that humans expend at the muscle level. I hope to generate models that can be used to help design devices that assist specific muscles and improve mobility.