Machine Learning for modeling human locomotion
Master thesis
Developing control strategies for exoskeletons that assist or enhance movement, helping people with mobility issues and reducing strain in industrial jobs can be done using simulations. Creating simulations of humans moving naturally is a critical first step in that process to help ensure the control strategies can be applied in the correct way to work effective and safely. Therefor, it is important to verify simulations based on experimental data.
