Optimizing Wearable Assistive Devices with Neuromuscular Models and Optimal Control

Authors

Manish Sreenivasa, University of WollongongFollow
Matthew Millard, University of Heidelberg
Paul Manns, University of Heidelberg
Katja Mombaur, University of Heidelberg

RIS ID

128860

Publication Details

Sreenivasa, M., Millard, M., Manns, P. & Mombaur, K. (2017). Optimizing Wearable Assistive Devices with Neuromuscular Models and Optimal Control. In J. Ibanez, J. Gonzalez-Vargas, J. M. Azorin, M. Akay & J. L. Pons (Eds.), Converging Clinical and Engineering Research on Neurorehabilitation II (pp. 627-632). Cham, Switzerland: Springer.

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.