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Multimodal Data acquisition and Computational Analysis for Signals Under Stress


Description With 2.3 million fatalities each year from work related stress, the need for solutions and aids is higher than ever before.  Health related data is somewhat difficult to come by and solutions for non-invasive strategies for data collection are also being researched.
Task In this topic the student will design and execute a data collection protocol for collecting multimodal (speech and bio) under-stressed signals.
Utilises Good programming skills, audio engineering experience a plus
Requirements Preliminary knowledge in Machine Learning, Good programming skills (e.g. Python, C++).
Languages English
Supervisor Alice Baird (alice.baird@informatik.uni-augsburg.de)