Biomechanical Motion Analysis and Creation

The Biomechanical motion analysis and creation (BioMAC) group aims to develop methods for accurate analysis and simulation of human motion, focused on gait. Movement simulations are created by solving trajectory optimization problems, using an objective related to energy, a musculoskeletal model to model the body and muscle dynamics, and constraints to define the movement task. Experimental studies are used to capture human motion for tracking and as reference. With our research, we aim to better understand human motion, and design better devices, such as prostheses, exoskeletons, and running shoes, as well as prevent injuries, such as knee osteoarthritis. Thereby, we focus on wearables and the combination of physics-based models with machine learning methods.


Group Head


Group Members


Current Students

  • Annika Wünsch
    Explaining influential differences in human gait datasets on machine learning tasks
  • Daniel Janischowsky
    Predictive simulations of gait with ankle exoskeleton that alters energetics
  • Prajjwal Nag
    Smartphone-Based Human Model Personalisation


Presentations and Videos

To the videos



This demo shows how the developed methods can be used to reconstruct measured movement but also to predict movements in response to environmental changes:

MaD Walker Demo