Computational Movement Science

The Computational Movement Science (CMS) Lab is a research group of the Movement Science department of the Institute of Sport and Exercise Science. Its focus lies on model-based analyses of various aspects of human movement and perception. Our key idea is to combine internal forward and inverse models into one unified artificial neural network that controls and predicts movement in a parallel fashion. We are continuously developing a computational 3D human model, called Myonardo, with bones, muscles, ligaments, reflexes, and motor control units. Myonardo is based on human physiology and can be adapted to fit any individual in any kind of circumstance, using kinetic and kinematic measurements, electromyography, and state of the art neuronal networks implemented in MATLAB and Simulink. As a result, motion tracking and mixed dynamics analyses with Myonardo enable a detailed evaluation of the data. We use artificial neural networks, such as reservoir computing networks and Kohonen maps. The data is evaluated with advanced statistical methods, such as general and generalized linear models. We investigate how motor skills are learned and improved, and how actual and phantom pain emerges. Closely related basic theories comprise the reafference principle, internal models in the brain, eye-hand coordination and balancing.

Meet the team...

Currently, our lab consists of seven people: Heiko Wagner, Kim Boström and our five PhD Students: Myriam de Graaf, Svanje Wald, Andrea Arensmann, Meike Gerlach and Lena Kloock.

Find out more about the CMS lab members here!

Current Projects

We currently have several projects running, from the calculation of joint forces during running and sprinting too spinal cord neural network models, and from arm movement optimization to the calculation of metabolic costs.

Want to know more about our currently running projects? Find our project site here!