Detecting high-level team intentions (Three person meeting dataset)
[research data]
Kirste, Thomas
1962-
VerfasserIn
aut
software, multimedia
Computerdaten
Forschungsdaten
gw
2007
monographic
XA-DE
Rostock
University
publisher
2007
Rostock
University Library
distributor
eng
1 Online-Ressource
The dataset contains 20 recordings of scripted meetings and an annotation of the performed activities. Three persons (A, B and C) attend the meeting. Each member holds a presentation, and the meeting concludes with a common discussion. This dataset contains the individual team members positions as recorded by an indoor positioning systems.<eng>
Thomas Kirste
004
http://purl.uni-rostock.de/rosdok/id00000112
10.1016/j.ijar.2015.04.003
Nyolt, Martin and Krüger, Frank and Yordanova, Kristina and Hein, Albert and Kirste, Thomas. Marginal filtering in large state spaces. International Journal of Approximate Reasoning, 2015, 61, 16-32
10.5220/0004256002830288
Frank Krüger and Kristina Yordanova and Albert Hein and Thomas Kirste. Plan Synthesis for Probabilistic Activity Recognition. Proceedings of the 5th International Conference on Agents and Artificial Intelligence (ICAART 2013)
10.1109/PerComW.2012.6197586
Kristina Yordanova and Frank Krüger and Thomas Kirste. Context Aware Approach for Activity Recognition Based-on Precondition-Effect Rules. 9th IEEE Workshop on Context Modeling and Reasoning (CoMoRea'12) at the 10th IEEE International Conference on Pervasive Computing and Communication (PerCom'12)
10.3233/AIS-2012-0148
Krüger, Frank and Yordanova, Kristina and Burghardt, Christoph and Kirste, Thomas. Towards Creating Assistive Software by Employing Human Behavior Models. Journal of Ambient Intelligence and Smart Environments (JAISE), 2012
10.18453/rosdok_id00001381
Kristina Yordanova. Methods for Engineering Symbolic Human Behaviour Models for Activity Recognition. Rostock, 2014
10.18453/rosdok_id00000112
1135715363
rda
DE-627
190925
1677709499
20251226T180531.0
Converted from MARCXML to MODS version 3.8 using MARC21slim2MODS3-8_XSLT1-0.xsl
(Revision 1.174 20250328)
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