Internships
Development of a novel Simulation Framework for a Wearable Eye-Tracking Sensor (MA/BA Thesis / Guided Research / IDP)
Key words: Eye-tracking, Sensors, Signal Processing, Machine Learning, Computer Vision
Eye-Tracking is a technology with numerous application areas in market and behaviour research, education, human-machine-interaction, health-care, and more. Recent advancements in sensor hardware and processing are paving the way for wide-spread adoption even in consumer products, which will enable exciting new opportunities and have the potential to introduce a paradigm shift in how we interact with our environment.
As part of the EU-funded VIVA project (vivaproject.eu), we are currently researching a completely novel wearable eye-tracking sensor based on Lasers, which requires the development of a camera-based reference eye-tracker. For large parts of the required algorithm pipeline, there are no published robust state-of-the-art implementations, which makes this an interesting area for fundamental research in Computer Vision algorithms and filling research gaps.
The main task consists of the development of a simulation tool, which will be used for researching new algorithms for the sensor. Depending on personal interests, the scope of the project can be extended to algorithm research.
Prerequisites:
- Programming skills, especially Python or MATLAB
- Solid foundations in Computer Science and Algorithms
- Fundamental knowledge of Computer Vision and Image Processing
- Ideally: Experience in sensor simulation technology, especially for camera-based systems.
Supervision in German or English and for all relevant TUM Schools.
Contact (feel free to ask questions): alexander.zimmer(at)tum.de