Motion Capturing & Data Analysis in Physiotherapy

Supervisor: Giang Nguyen

The vision of the spin-off project Veiio in Dresden is to develop an intelligent suit with fully integrated sensors and actuators that uses motion capture to provide real-time vibrotactile feedback to the wearer.

We offer a diploma thesis project in Motion Capture (MoCap) Data Analysis based on Inertial measurement unit (IMU) sensors. In this project, you should develop a prototypical system that recognizes selected movement exercises and that evaluates the movement execution in real-time. Included tasks are also: acquiring the data with provided hardware, testing, and comparing different approaches for motion classification and evaluation, providing a simple interface for examining the algorithms.

You should bring:

• Profound knowledge in Python programming
• Experience with approaches from machine learning (e.g., scikit-learn, PyTorch)

We provide:

• Application-oriented project that is intended to be used
• Continuous exchange with interdisciplinary team

That sounds exciting?
Then please contact us: info@veiio.de or Giang Nguyen

References

[1] A Comprehensive Survey on Machine Learning for Networking: Evolution, Applications and Research Opportunities
[2] Network congestion