Titel: |
Detecting high-level team intentions (Three person meeting dataset): [research data] |
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Beteiligte Personen: |
Thomas Kirste[VerfasserIn] |
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137244754 |
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University of Rostock, Institute of Computer Science, Mobile Multimedia Information
Systems Group |
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Zusammenfassung: |
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.
[Englisch] |
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Dokumenttyp: |
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Einrichtung: |
Fakultät für Informatik und Elektrotechnik |
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Sprache: |
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Sachgruppe der DNB: |
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Veröffentlichung / Entstehung: |
Rostock
Rostock: University of Rostock
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2007
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Verantwortlichkeitsangabe: |
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Identifikatoren: |
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Referenzen: |
Forschungsdaten zu:
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
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Forschungsdaten zu:
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)
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Forschungsdaten zu:
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)
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Forschungsdaten zu:
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
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Forschungsdaten zu:
Kristina Yordanova. Methods for Engineering Symbolic Human Behaviour Models for Activity
Recognition. Rostock, 2014
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Zugang: |
frei zugänglich (Open Access)
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Lizenz/Rechtehinweis: |
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RosDok-ID: |
rosdok_document_0000007963 |
erstellt / geändert am: |
14.08.2015 / 16.10.2023
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Metadaten-Lizenz: |
Die Metadaten zu diesem Dokument sind gemeinfrei (CC0 1.0 Universal Public Domain Dedication). |