BeReal(Time): Real-Time Musculoskeletal Simulation for enhanced Rehabilitation (Bachelor's / Master's Thesis / Guided Research)

09.02.2026, Abschlussarbeiten, Bachelor- und Masterarbeiten

This project aims to improve boring exercises with real-time motion tracking and gamification approaches in combination with musculoskeletal simulations to get meaningful outputs.

Project Proposal: Gamified Biomechanics

Real-Time Motion Tracking & Gamification

Project Overview: This project aims to transform repetitive exercises into engaging experiences. We are combining real-time motion tracking and gamification approaches with musculoskeletal simulations to generate meaningful, scientifically accurate outputs.

Specifically, this work builds upon an existing Unity framework that currently provides a pipeline to visualize human pose data in real-time. The system forwards data to a secondary module to calculate complex biomechanical motion parameters.

Project Objectives

1 Unity Package Creation

Refactor the existing project into a modular, reusable Unity package that can be easily integrated into other projects.

2 Gamification Integration

Embed the "Knie Wieder" serious unity game into the pipeline to create a better, more engaging visualization for the user.

3 Advanced Input Integration

Implement Google’s MediaPipe and Microsoft’s Kinect as input sources to detect key body points. This data will drive the Unity skeleton for both visualization and biomechanical analysis.

Key Research Areas

Unity scripting and modular package architecture.
Vision-based human pose estimation (utilizing Google MediaPipe & Microsoft Kinect).
Real-time biomechanical data visualization.

Student Profile

Recommended Background

Solid knowledge of Unity development.
Interest or experience in vision-based human pose estimation.
Understanding of human pose and key point detection concepts.

Flexibility

Depending on your current stage of study (Bachelor/Master) and specific expertise, the focus of the project can be adjusted to match your strengths.

Please review the attached PDF file for detailed technical information regarding the topic.

Looking forward to your application!

Please send your Transcript of Records, CV, and Motivation to:

Daniel Homm
daniel.homm@tum.de

CC: hex-thesis.ortho@mh.tum.de

Kontakt: daniel.homm@tum.de, hex-thesis.ortho@mh.tum.de

Mehr Information

project-description

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