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

Nov. 18, 2020

Corona-Erkennung mittels App – Ihre Stimme zählt!

Sie interessieren sich für eine Teilnahme an unserer Studie?

 

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Nov. 9, 2020

Can Corona be detected by a speech analysis app?

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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Sept. 30, 2020

Job advertisement: intern or master's student (m / f / d)

Job advertisement from Huawei


Follow the link for more information:
https://apply.workable.com/huawei-16/j/CC683BC0AD/

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Contact

Secretary
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:

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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