ID 2320: Smartphone-Based Human Model Personalization

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Bachelor’s Thesis / Master’s Thesis

Revolutionizing biomechanics with the swipe of a smartphone! Last year brought a game-changing innovation: OpenCap’s Smartphone-Based 3D motion-capturing system [1]. OpenCap allows the reconstruction of physically plausible movements by recording stereoscopic videos and using OpenPose to extract motion. In this thesis, we want to add an extra layer of precision to the mix. We want to make use of automated 3D human avatar reconstructions using smartphone cameras [2,3]. Based on the Avatar’s body hull, we want to infer critical segment parameters, such as mass distribution and moment of inertia, to make OpenCap’s motion reconstruction more accurate.

The goal of the Thesis is to validate the extraction of key segment parameters [4] from three-dimensional human body hulls.


  • Recording a bodyshell and movement dataset
  • Extraction & Validation of segment parameters estimated from the body shells


  • Programming skills in Python
  • Interest in Biomechanics
  • (optional) Experience with Optical Motion Capturing, OpenSim


Please send your CV, your transcript of records and 2-3 sentences about your motivation to:

Markus Gambietz, M. Sc.

Researcher & PhD Candidate

Iris Wechsler, M. Sc.

Researcher & PhD Candidate

Please use the application form to apply for the topic. We will then get in contact with you.


[1] OpenCap: 3D human movement dynamics from smartphone videos (Uhrich, 2022)
[2] Realistic Virtual Humans from Smartphone Videos (Wenninger, 2020)
[3] Inside Humans: Creating a Simple Layered Anatomical Model from Human Surface Scans (Komaritzan, 2021)
[4] ASB 2018: Pipeline Shared by Dordt College and UW Madison (Galloy, 2018)