📷 MSc Thesis Opportunity: Use AI to Improve Markerless Motion Capture in Rehabilitation

📍Location: Vienna General Hospital, Medical University of Vienna
⏳ Duration: 6 months (full-time)
📅 Start: September/October 2026

Accurately tracking patients during rehabilitation—without physical markers or wearable sensors—could make movement assessment more flexible, and clinically useful.

At the NeuroEngineering Lab at the Medical University of Vienna, we are developing a markerless motion-capture system that uses multiple synchronized cameras and computer vision to reconstruct human movement. The system is already operational, but one key challenge remains: reliably identifying and tracking the patient in busy clinical environments where therapists, clinicians, or rehabilitation devices may also be present.

As an MSc student, you will develop and integrate AI-based human segmentation and 3D body-meshing methods to isolate the patient of interest and improve the reliability of movement tracking. Your work will support more accurate and non-intrusive assessment of motor recovery in real-world rehabilitation settings.

What you’ll work on:

• Develop and integrate human segmentation and body-meshing methods into the motion-capture pipeline

• Evaluate and validate the proposed approach through technical testing

• Explore integration with other rehabilitation technologies and sensing modalities

Who we’re looking for:

• Strong programming skills in Python and/or C++

• Good understanding of computer vision

• Experience with motion capture is a plus

Download the complete thesis proposal here. You can apply directly through the website form or by sending your CV, transcript of records, and a short motivation letter to neuroenglab2019@gmail.com.