For optimal individual user benefit and experience, this is complemented by socio-emotionally competent user modelling, feedback generation, interfaces, and applications for digital solutions of health state, fitness monitoring, and sports-related coaching. To best fulfil these goals, the chair develops novel algorithms in the fields of deep and general machine learning, and robust signal processing.
Our team at a glance: This is how you can reach us - from professors to lecturers to scientific staff.
On this page you will find all information on the courses offered as well as an overview of interesting research topics of the chair, which you can work on as part of a thesis, a module or as a research assistant.
Can a COVID-19 infection be detected based on your voice and sounds? This is what the speech and audio analysis app developed by Prof. Dr. Björn W. Schuller, Professor of Artificial Intelligence and Digital Health is developed for. It estimates the probability of being infected with the corona virus based on prolonged vowels or a text that has been read aloud or free speech. First results are highly promising, but the app is still being improved and tested, in particular by collecting more data.
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How to reach us:
Chair of Embedded Intelligence for Health Care and Wellbeing
Department of Computer Science
University of Augsburg
Eichleitnerstr. 30, F2,
Phone: +49 (0) 821 598 - 2911 (Secretary)
Fax: +49 (0) 821 598 - 2912
Building: Alte Universität, Room 304