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Towards a proactive system based on activity recognition
Helaoui, Rim
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DOI:
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https://doi.org/10.1109/PERCOMW.2010.5470560
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URL:
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https://ieeexplore.ieee.org/document/5470560
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Weitere URL:
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http://publications.wim.uni-mannheim.de/informatik...
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Dokumenttyp:
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Konferenzveröffentlichung
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Erscheinungsjahr:
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2010
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Buchtitel:
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2010 8th IEEE International Conference on Pervasive Computing and Communications workshops : PerCom workshops 2010 ; Mannheim, Germany, 29 March - 2 April 2010
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Seitenbereich:
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849-850
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Veranstaltungstitel:
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2010 PERCOM Workshops
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Veranstaltungsort:
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Mannheim, Germany
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Veranstaltungsdatum:
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29.03.-02.04.2010
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Herausgeber:
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Becker, Christian
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Ort der Veröffentlichung:
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New York, NY [u.a.]
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Verlag:
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IEEE Press
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ISBN:
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978-1-4244-6605-4 , 978-1-4244-5328-3 , 978-1-4244-6606-1
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Sprache der Veröffentlichung:
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Englisch
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Einrichtung:
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Fakultät für Wirtschaftsinformatik und Wirtschaftsmathematik > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
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Fachgebiet:
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004 Informatik
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Abstract:
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Recent progress in sensing technology has led to ever more inexpensive and smaller sensors. This has opened the door for novel applications. A particularly promising one is what is called “proactive computing” [1], which suggests an anticipatory aspect to ubiquitous computing. An anticipatory system can be defined as “a system containing a predictive model of itself and/or of its environment that allows it to change state
at an instant in accord with the model’s predictions pertaining to a later instant” [2]. In order to generate and maintain such
predictive models, a system needs context-awareness, that is, the ability to determine what to observe in its environment and how to interpret it [3]. The predictive models allow the system to pro-actively adjust to changes in the real-world. In this work, we address underlying principles of preventive systems for proactive applications in closed domains.
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