Our focus
We focus on the following areas:
Connected embedded systems
This line of research focuses on making the latest developments in the field of internet-linked embedded systems applicable within existing engineering practice. We develop practical knowledge and prototypes concerned with obtaining data from sensors (measuring), sensor fusion and filtering, data distribution, communication protocols and (embedded) software development.
Applied data and AI
This line of research focuses on how to arrive at ‘situational awareness’ from measured “sensor” data: who is present, what are they doing, what is going on, or even what are the intentions. In addition to data storage and management, this mainly involves (big) data analysis, data mining, statistical and machine learning (ML) systems, ML engineering and decision support.
Augmented interaction
The Augmented Interaction line of research uses various technologies to achieve natural, intuitive interaction. We use cross reality (augmented, mixed and virtual reality), combined with physical representations such as robots, to make the invisible visible and interactive in a natural way. In our view, there is no longer a separation between interaction with computers and interaction with the real world.