Abstract: A physiotherapist consultant performs a core set of exercises in the Human Performance Lab while around 70 reflective markers are attached to his body joints. A set of eight Motion Analysis cameras concurrently capture a regular sampling of his joint parameters over time. After recording the raw data for each exercise, the system extracts the skeletal structure of the character from it. These skeletal animations are later applied to a 3D human model to represent different visualizations. Therefore, some post processing needs to be done on the skeletal avatar to visualize a skinned human, its muscle structure and its nerve system. In addition, the geometric notion of the data allows adding graphical overlays to the visualization such as showing the angles between joints or highlighting the affected muscles.