Machine Learning for Neuromusculoskeletal Modelling (C03)
Machine Learning for Neuromusculoskeletal Modelling (C03)
Acronym: SFB 1483 EmpkinS C03 Project leader:Björn Eskofier, Jörg Miehling, Sandro Wartzack, Jürgen Winkler Project members:Sophie Fleischmann, Julian Shanbhag, Sven Wirsching, Alexander Wolf Start date: 1. July 2021 End date: 30. June 2025 Funding source: DFG / Sonderforschungsbereich (SFB)
Abstract
A novel postural control model of walking is explored to characterise the components of dynamic balance control. For this purpose, clinically annotated gait movements are used as input data and muscle actuated multi-body models are extended by a sensorimotor level. Neuromotor and control model parameters of (patho-)physiological movement are identified with the help of machine learning methods. Technical and clinical validation of the models will be performed. New EmpkinS measurement techniques are to be transferred to the developed models as soon as possible.
