Fuzzy temporal logic, flexible methods for interaction analysis
Author:
Affiliation:
1. Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Germany
2. Currently with: Farm Technology Group, Wageningen University, The Netherlands. E-mail: joris.ijsselmuiden@wur.nl
Publisher
IOS Press
Subject
Software
Reference6 articles.
1. Automatic understanding of group behavior using fuzzy temporal logic;IJsselmuiden;Journal of Ambient Intelligence and Smart Environments (JAISE),2014
2. [4]J. IJsselmuiden, A.-K. Grosselfinger, D. Münch, M. Arens and R. Stiefelhagen, Automatic behavior understanding in crisis response control rooms, in: Conference on Ambient Intelligence (AmI), 2012, pp. 97–112.
3. [5]J. IJsselmuiden and R. Stiefelhagen, Towards high-level human activity recognition through computer vision and temporal logic, in: German Conference on Artificial Intelligence (KI), 2010, pp. 426–435.
4. [6]D. Münch, J. IJsselmuiden, A.-K. Grosselfinger, M. Arens and R. Stiefelhagen, Rule-based high-level situation recognition from incomplete tracking data, in: Symposium on Rules (RuleML), 2012.
5. [7]A. Schick, F. van de Camp, J. IJsselmuiden and R. Stiefelhagen, Extending touch: Towards interaction with large-scale surfaces, in: ACM Interactive Tabletops and Surfaces Conference (ITS), 2009, pp. 117–124.
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