Optimizing wearable assistive devices with neuromuscular models and optimal control

TL;DR

This paper discusses how neuromuscular models and optimal control can enhance the design and functionality of wearable assistive devices by enabling predictive simulations and better understanding of human-device interactions.

Contribution

It introduces the integration of advanced neuromuscular models with optimal control to improve wearable assistive device design and predictive movement simulation.

Findings

Enhanced understanding of human-device interaction

Ability to generate novel movement predictions

Potential for improved assistive device optimization

Abstract

The coupling of human movement dynamics with the function and design of wearable assistive devices is vital to better understand the interaction between the two. Advanced neuromuscular models and optimal control formulations provide the possibility to study and improve this interaction. In addition, optimal control can also be used to generate predictive simulations that generate novel movements for the human model under varying optimization criterion.