The Mobile Multimedia Information Systems Group (MMIS) at the University of Rostock works in the area of Ambient Intelligence, focusing on the topics of device cooperation, intention recognition, activity recognition, and assistance systems. Research is facilitated by the Smart Environment Lab, incorporating a large scale multi-display environment and a wide array of sensors for activity detection. One of the group’s innovative contributions is the CCBM Tool (Computational Causal Behaviour Modelling) which provides a language for defining computational models of user behaviour together with a software for the automatic translation of these models into Bayesian filters. Among other, CCBM has been used for recognising the team behaviour of groups in intelligent environments, for recognising the actions and context in kitchen scenarios, as well as for the activity pattern analysis for elder care nurses and maintenance personnel.
I have been part of the MMIS group since 2010. My research there is focused on human behaviour models for activity recognition and I continue to collaborate with my colleagues from MMIS also during my current project Text2HBM.
Here are some publications that are not related to any of the other projects I am involved in.
- Max Schröder, Kristina Yordanova, Sebastian Bader, Thomas Kirste. Tool Support for the Online Annotation of Sensor Data. In Proceedings of the 3rd International Workshop on Sensor-based Activity Recognition and Interaction (iWOAR 2016), Rostock, Germany, 2016
- Shiguang Yue, Kristina Yordanova, Frank Krüger, Thomas Kirste, Yabing Zha. A Decentralized Partially Observable Decision Model for Recognizing the Multi-agent Goal in Simulation Systems. In Discrete Dynamics in Nature and Society, 2016