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

Prof. Dr. Anne Koelewijn

Room: Room 01.016


Group Members


Current Students

  • Alexander Weiß
    An investigation of ground contact models in biomechanical simulations
  • Christopher Löffelmann
    Biomechanical assessment of sprint performance via trajectory optimization
  • Matthias Mayer
    Gait Reconstruction from Sparse Sensordata for Identification and Visualization of Parkinson's Disease
  • Sophie Fleischmann
    Feature extraction from motion capture data



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