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.
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.
News
PhD for Vedhas Pandit
Congratulations to former EIHW researcher Vedhas Pandit on the successful defence of his doctoral thesis! Vedhas defended his PhD, ‚Time- and Value-continuous Explainable Affect Estimation In-the-wild‘ on the 23th November. The examiners were Prof. Dr.-Ing. habil. Björn Schuller — Gil‘s supervisor, Prof. Dr. Elisabeth André (University of Augsburg) and Prof. Dr. Rainer Lienhart (University of Augsburg).
Job Opportunity for Students at EIHW
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
EIHW at NDR "Visite"
German public TV broadcaster NDR featured the chair EIHW in the health magazine „Visite“.
Contact
- 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
