Welcome on the homepage of the Neuro-Information Technology group (NIT) managed by:
The Neuro-professorship Information Technology (NIT) is located technically at the intersection of research fields multisensory information gathering and processing, human-machine interaction (HMI) and information perception. This involves at first the use of modern methods of information technology and pattern recognition for signal, image and video-based industrial and medical applications. Examples are the development of new model-based systems for:
- 3D object recognition and measurement in the field of surface inspection,
- Object tracking and event detection in the resaerch field of situation recognition and modelling,
- Mimic-based emotion analysis and gesture as well as action recognition in the field of human-machine interaction,
- Handwriting recognition and interpretation in the field of content analysis and text retrivel and
- Multi-robot plan recognition and self organization in the field of ambient intelligence and driver assistance systems.
In addition to the exploartion and researching of algorithms and interaction techniques for specific areas the claim is to develop ever more versatile techniques in real apprichtion areas (like prototype), such as medicine, security and mobility, and automotive and production (more details are given on the current research projects).