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Towards tool support for computational causal behavior models for activity recognition

dc.contributor.authorKrüger, Frank
dc.contributor.authorYordanova, Kristina
dc.contributor.authorKöppen, Veit
dc.contributor.authorKirste, Thomas
dc.contributor.editorGoltz, Ursula
dc.contributor.editorMagnor, Marcus
dc.contributor.editorAppelrath, Hans-Jürgen
dc.contributor.editorMatthies, Herbert K.
dc.contributor.editorBalke, Wolf-Tilo
dc.contributor.editorWolf, Lars
dc.date.accessioned2018-11-06T10:58:24Z
dc.date.available2018-11-06T10:58:24Z
dc.date.issued2012
dc.description.abstractComplexity in Modeling and Development increases continuously. Subject of this paper is to show how developers of Computational Causal Behavior Models can be supported with a tool to improve the development process. Therefore, we analyze three case studies about probabilistic modeling of human behavior for activity recognition with respect to specific problems that might occur. We present a classification into five problem types that should be carefully considered in such projects. Finally, we present how tool support to increase the efficiency of developing Computational Causal Behavior Models might be created. In general, the paper provides useful guidelines for every model developer in the field of activity recognition, and highlights the need of tool support for such models.en
dc.identifier.isbn978-3-88579-602-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/17859
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2012
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-208
dc.titleTowards tool support for computational causal behavior models for activity recognitionen
dc.typeText/Conference Paper
gi.citation.endPage572
gi.citation.publisherPlaceBonn
gi.citation.startPage561
gi.conference.date16.-21. September 2012
gi.conference.locationBraunschweig
gi.conference.sessiontitleRegular Research Papers

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