Thesis: Developing a framework for motion data synthesis

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From a classical marker-based motion capture system (MoCap) you obtain the coordinates of placed markers, which are used to establish a biomechanical model. However, information of the subject’s circumferences (silhouette) and surface effects is not provided, which is crucial in case of surface attached sensor synthesis. New digital modelling techniques can help to approximate subject’s silhouette based on the marker coordinates and allow a more realistic synthesis performance.


Extend the existing framework from real Motion Capture data to surface shape models while performing Activities of Daily Living (ADL’s), developed at the chair. Use 3D modeling techniques (blender), automatic human body rigging and personalized shape models to synthesise different sensor signals in order to evaluate sensor placement effects.


Project typeBA/MA Thesis
LanguageEnglish/ German
PeriodWinter term 2021/22
Presence timeVirtual, mostly working from remote, depending on the needs
Useful knowledge3D modeling, programming, biomechanics
Work distribution70% programming and algorithm development, 30% simulation
StudOn linkN/A
RegistrationE-Mail to


Literature recommendations are provided during the meetings. The candidate is further encouraged to research relevant publications on this topic.


Final presentation and final report/thesis


Lena Uhlenberg

  • Job title: Researcher
  • Address:
    Henkestraße 91, Haus 7, 1. OG
    91052 Erlangen
  • Phone number: +49 9131 85-23605
  • Email:
Friedrich-Alexander-Universität Erlangen-Nürnberg