Embedded Intelligence for Health Care and Wellbeing

The University of Augsburg's Chair of Embedded Intelligence for Health Care and Wellbeing positions itself at the intersection of modern computer science and medicine. The chair pursues research in the field of computationally intelligent, ubiquitous sensing for knowledge-based monitoring of health-related activity, vital parameters, wellbeing, and contextual factors.

 

The chair's primary interest lies in robust multi-sensorial capturing, analysis, and interpretation of bio-signals such as cardio-, metabolic, or neuro-signals; moreover, modelling acoustic (from speech and non-speech) and visual (from face, gesture, and body) information with an integrated approach, in everyday (“in the wild”) environments, for mHealth and affective computing.

© University of Augsburg
© University of Augsburg

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.

GET IN TOUCH

Our team at a glance: This is how you can reach us - from professors to lecturers to scientific staff.

STUDY & TEACHING

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.

RESEARCH

Get an insight into past and current projects and publications of the chair.

News

May 12, 2022

Wie künstliche Intelligenz Vertriebsprozesse optimiert

Das junge Unternehmen Recoro wird durch das Bundesministerium für Wirtschaft und Klimaschutz mit einem EXIST-Stipendium gefördert. Es ist aus einem Forschungsprojekt an der Universität Augsburg entstanden und wird von ihr sowohl wissenschaftlich als auch bei der Unternehmensgründung beraten. Rocoro nutzt künstliche Intelligenz, um Vertriebsprozesse zu optimieren.

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March 20, 2022

Maximilian Schmitt defends his PhD Thesis

On the 18th of March 2022, our former colleague Max Schmitt successfully defended his doctoral thesis ‘Bag-of-Words Representations for Computer Audition’. The examiners were Prof. Dr.-Ing. habil. Björn Schuller (Max’s supervisor), Prof. Dr. Elisabeth André (Universität Augsburg), Prof. Dr. Frank Kramer (Universität Augsburg) and Prof. Dr.-Ing. Dorothea Kolossa (Ruhr-Universität Bochum). Congratulations, Max!

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Feb. 23, 2022

PhD Defence: Congratulations, Zhao Ren!

Our former colleague Zhao Ren successfully defended her PhD thesis „Deep Learning Techniques for Computer Audition“ on the 22nd of February. The examiners were Zhao’s supervisor Prof. Dr.-Ing. habil. Björn Schuller, Prof. Dr. Elisabeth André and Prof. Dr. Frank Kramer (both University of Augsburg) as well as Prof. Dr.-Ing. habil. Andreas Maier (FAU Erlangen). Congratulations!

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Contact

Secretary
Chair for Embedded Intelligence for Health Care and Wellbeing
  • Room 304 (Building Standort "Alte Universität")

How to reach us:

Address:

Chair of Embedded Intelligence for Health Care and Wellbeing
Department of Computer Science
University of Augsburg

Eichleitnerstr. 30, F2,
D-86159 Augsburg


Phone: +49 (0) 821 598 - 2911 (Secretary)

Fax: +49 (0) 821 598 - 2912

E-Mail: nadine.witek@informatik.uni-augsburg.de

 

Building: Alte Universität, Room 304

 

 

© University of Augsburg

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