ID 2320: Smartphone-Based Human Model Personalization

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.

Tasks

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

Requirements

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

Supervisors

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