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.

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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.