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.
The chair for Embedded Intelligence in Healthcare and Wellbeing is looking for two students to support our research.
Topic: emotion recognition from facial and physiological information.
Qualification: skills in Machine Learning and Data Analysis
Workload: 40h/month (no degree yet) bzw. 36h/Monat (bachelor degree)
Duration: June 1 2021 to Dec 31 2021
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