Towards a proactive system based on activity recognition


Helaoui, Rim



DOI: https://doi.org/10.1109/PERCOMW.2010.5470560
URL: https://ieeexplore.ieee.org/document/5470560
Additional URL: http://publications.wim.uni-mannheim.de/informatik...
Document Type: Conference or workshop publication
Year of publication: 2010
Book title: 2010 8th IEEE International Conference on Pervasive Computing and Communications workshops : PerCom workshops 2010 ; Mannheim, Germany, 29 March - 2 April 2010
Page range: 849-850
Conference title: 2010 PERCOM Workshops
Location of the conference venue: Mannheim, Germany
Date of the conference: 29.03.-02.04.2010
Publisher: Becker, Christian
Place of publication: New York, NY [u.a.]
Publishing house: IEEE Press
ISBN: 978-1-4244-6605-4 , 978-1-4244-5328-3 , 978-1-4244-6606-1
Publication language: English
Institution: School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
Abstract: 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.




Dieser Eintrag ist Teil der Universitätsbibliographie.




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