Universität Rostock | Fakultät für Informatik und Elektrotechnik | Institut für Informatik | Institut für Angewandte Mikroelektronik & Datentechnik


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Kristina Yordanova

Dr.-Ing. Kristina Yordanova

Mobile Multimedia Information Systems Group

Prof. Kirste

Dissertation:

Methods for engineering symbolic human behaviour models for activity recognition

     

E-mail:  kristina.yordanova (at) uni-rostock.de
Tel.: +49 381  498 7432

Selected Publications

2015

 Article

Kristina Yordanova and Thomas Kirste, A Process for Systematic Development of Symbolic Models for Activity Recognition, in: ACM Transactions on Interactive Intelligent Systems, 2015. accepted  
Martin Nyolt, Frank Krüger, Kristina Yordanova, Albert Hein and Thomas Kirste, Marginal filtering in large state spaces, in: International Journal of Approximate Reasoning, volume 61, 61(16--32), 2015.
Link

 Inproceedings

Martin Nyolt, Kristina Yordanova and Thomas Kirste, Checking Models for Activity Recognition, in: Stephane Loiseau, Joaquim Filipe, Béatrice Duval and Jaap van den Herik (Hrsg.), Proceedings of the International Conference on Agents and Artificial Intelligence, SCITEPRESS, 2015. accepted
Link
Kristina Yordanova, Discovering Causal Relations in Textual Instructions, in: Recent Advances in Natural Language Processing, pages 714--720, 2015.  

 Misc

Kristina Yordanova, Evaluation of Requirements for Human Behaviour Modelling for Activity Recognition, University Library, University of Rostock, 2015.
Link
Frank Krüger, Albert Hein, Kristina Yordanova and Thomas Kirste, Recognising the actions during cooking task (Cooking task dataset), University Library, University of Rostock, 2015.
Link
Kristina Yordanova, Time series from textual instructions for causal relations discovery (Causal relations dataset), University Library, University of Rostock, 2015.
Link

2014

 Article

Frank Krüger, Martin Nyolt, Kristina Yordanova, Albert Hein and Thomas Kirste, Computational State Space Models for Activity and Intention Recognition. A Feasibility Study., in: PLoS One, 2014. in print
Link

 Incollection

Albert Hein, Frank Krüger, Kristina Yordanova and Thomas Kirste, Towards causally correct annotation for activity recognition, in: WOAR 2014: Workshop on Sensor-based Activity Recognition, pages 31--38, Fraunhofer-Verlag, 2014. ISBN: 978-3-8396-0792-3  

 Inproceedings

Kristina Yordanova, Martin Nyolt and Thomas Kirste, Strategies for Reducing the Complexity of Symbolic Models for Activity Recognition, in: 16th International Conference on Artificial Intelligence: Methodology, Systems, Applications (accepted), 2014.  
Kristina Yordanova and Thomas Kirste, Towards Systematic Development of Symbolic Models for Activity Recognition in Intelligent Environments, in: Proceedings of the The 3rd Workshop on AI Problems and Approaches for Intelligent Environments held at ECAI 2014, 2014.
Link

 Phdthesis

Kristina Yordanova, Methods for Engineering Symbolic Human Behaviour Models for Activity Recognition, 2014. urn:nbn:de:gbv:28-diss2014-0133-5  

2013

 Inproceedings

Frank Krüger, Kristina Yordanova, Albert Hein and Thomas Kirste, Plan Synthesis for Probabilistic Activity Recognition, in: Proceedings of the 5th International Conference on Agents and Artificial Intelligence (ICAART 2013), pages 283 - 288, 2013.  

2012

 Article

Frank Krüger, Kristina Yordanova, Christoph Burghardt and Thomas Kirste, Towards Creating Assistive Software by Employing Human Behavior Models, in: Davy Preuveneers, Paulo Novais and Juan M. Corchado (Hrsg.), Journal of Ambient Intelligence and Smart Environments, volume 4, 4:3(209-226), 2012.
Link

 Book

Kristina Yordanova, Alexander Gladisch, Kristian Duske, Daniel Janusz and Sebastian Bader (Hrsg.), Proceedings of the Joint Workshop of the German Research Training Groups in Computer Science, Books on Demand GmbH, 2012. ISBN: 978-3-848200-22-1
Link

 Inproceedings

Kristina Yordanova, Frank Krüger and Thomas Kirste, Context Aware Approach for Activity Recognition Based-on Precondition-Effect Rules, in: 9th IEEE Workshop on Context Modeling and Reasoning (CoMoRea'12) at the 10th IEEE International Conference on Pervasive Computing and Communication (PerCom'12), pages 602 -607, 2012.
Link
Kristina Yordanova, Frank Krüger and Thomas Kirste, Strategies for Modelling Human Behaviour for Activity Recognition with Precondition-Effect Rules, in: Proceedings of the 35th German Conference on Artificial Intelligence, pages 257-261, 2012.
Link
Kristina Yordanova, Frank Krüger and Thomas Kirste, Tool Support for Activity Recognition with Computational Causal Behaviour Models, in: Proceedings of the 35th German Conference on Artificial Intelligence, pages 561-573, 2012.
Link
Frank Krüger, Kristina Yordanova and Thomas Kirste, Tool Support for Probabilistic Intention Recognition using Plan Synthesis, in: Proceedings of the 3rd international joint conference on Ambient Intelligence, pages 439-444, 2012.
Link
Frank Krüger, Kristina Yordanova, Veit Köppen and Thomas Kirste, Towards Tool Support for Computational Causal Behavior Models for Activity Recognition, in: Proceedings of the 1st Workshop: "Situation-Aware Assistant Systems Engineering: Requirements, Methods, and Challenges" (SeASE 2012) held at Informatik 2012, pages 561-572, 2012.  

2011

 Inproceedings

Kristina Yordanova, Human Behaviour Modelling Approach for Intention Recognition in Ambient Assisted Living, in: Proceedings of 2nd International Symposium on Ambient Intelligence (ISAmI 2011), pages 247-251, Springer Berlin Heidelberg, 2011.
Link
Kristina Yordanova, Modelling Human Behaviour Using Partial Order Planning Based on Atomic Action Templates, in: The 7th International Conference on Intelligent Environments, 2011.  
Andre Hoffmeyer, Kristina Yordanova, Stefan Teipel and Thomas Kirste, Sensor based monitoring for people with dementia: Searching for movement markers in Alzheimer's disease for a early diagnostic, 2011. presented at the Workshop on User Interaction Methods for Elderly People With Dementia at the AmI 11.  

 Techreport

Kristina Yordanova, Toward A Unified Human Behaviour Modelling Approach, Institut für Informatik, Universität Rostock, number CS-02-11, 2011. ISSN 0944-5900


Deutsch

gefördert von der Deutschen Forschungsgemeinschaft
22.01.20