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Research Groups

Human Computer Interaction

Our group explores novel interaction concepts and models for wearable and ubiquitous systems. The aim is to provide intuitive and innovative interfaces for applications in sports, wellbeing and healthcare. Our research is focused on the improvement of cognitive skills, applications within the reality-virtuality continuum and approaches for biofeedback.

Current projects

Machine Learning

Our group is conducting research in machine learning as well as signal and event processing to develop analysis pipelines for sports, healthcare, industrial and educational applications. We are working on inertial and biomedical sensor data, tracking, imaging and recommender systems.

Current projects

Modeling and Simulation

Current projects

Wearable Computing

Our group develops and integrates hardware unobtrusively for applications in the fields of sports, wellbeing and healthcare. Embedded signal processing and classification of inertial sensors, biosignals and environmental data is used to analyze human movements, vital signs or to recognize activities and events. Making use of the growing computational power of Wearables, we are able to generate real-time feedback for athletes, to monitor patients or to support diagnosis.

Current projects