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.


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.


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


Feb. 17, 2021

Klanglandschaften mit künstlicher Intelligenz entschlüsseln

Die Sprachanalyse spielt bereits im heutigen Leben eine Rolle: Sprache kann aufgenommen, verarbeitet und übersetzt werden. SprachApps, die Erkrankungen anhand von Stimme und Sprache analysieren können, sind bereits in der Entwicklung. Nun geht das Team um Prof. Dr. Björn Schuller den nächsten Schritt: Mit dem im Januar 2021 gestarteten Projekt „ADI0NOMOUS“ erforschen sie Klang insgesamt.

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Feb. 8, 2021

EIHW on "Zeit zu Reden"

In January, Professor Schuller was interviewed on the Augsburg a.tv program “Zeit zu reden”, on which he spoke about the chair’s Corona-App.

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Nov. 18, 2020

Corona-Erkennung mittels App – Ihre Stimme zählt!

Sie interessieren sich für eine Teilnahme an unserer Studie?


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Chair for Embedded Intelligence for Health Care and Wellbeing
  • Phone: +49 (0) 821 598 - 2911
  • Email:
  • Room 304 (Building Standort "Alte Universität")

How to reach us:


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