User-Centered Movement Data Analytics

Motion is an omnipresent aspect of our lives and an essential component of innovations in the areas of health, sports and fitness. We analyze motion data from a variety of data sources. Using methods from signal processing, statistics and machine learning, we evaluate data quality, identify movement patterns and develop models. This detailed knowledge about the quality of movement enables novel applications for users – to increase health, performance, safety or the enjoyment of movement.

Technologies & Methods:

• Technologies for the collection of human movement
• Data analysis and development of algorithms for the evaluation of human motion quality
• Prototype development for measuring the effects of interventions
  
• Secure and sustainable research data management