Research Group Leader

Prof. Michael Zöllner

Interaction & Data Driven Design

The movements and sound of an entire symphony orchestra are captured using machine learning motion analysis methods and made tangible in a non-linear way in virtual and augmented reality (VR/AR). This visualises the complexity from rehearsal to performance in a way that is understandable for musicians and audience.

Co-Learning Lab
In the Co-Learning Lab, we teach new technologies, methods and tools of digital transformation in creative, applied workshops to medium-sized companies, educational and cultural institutions in the region. Currently, this includes methods of user experience design and prototyping and the technologies VR, AR, machine learning, 3D printing and Internet of Things.

Machine Learning based Evaluation of Surfers’ Performance on River Waves.