A statistical-relational activity recognition framework for ambient assisted living systems

Helaoui, Rim ; Niepert, Mathias ; Stuckenschmidt, Heiner

DOI: https://doi.org/10.1007/978-3-642-13268-1_34
URL: https://link.springer.com/chapter/10.1007/978-3-64...
Additional URL: http://publications.wim.uni-mannheim.de/informatik...
Document Type: Conference or workshop publication
Year of publication: 2010
Book title: Ambient Intelligence and Future Trends - International Symposium on Ambient Intelligence (ISAmI 2010) : Guimarães, Portugal, 16-18 June 2010
The title of a journal, publication series: Advances in Intelligent and Soft Computing
Volume: 72
Page range: 247-254
Conference title: ISAmI 2010
Location of the conference venue: Guimarães, Portugal
Date of the conference: 16.-18.06.2010
Publisher: Augusto, Juan Carlos
Place of publication: Berlin [u.a.]
Publishing house: Springer
ISBN: 978-3-642-13267-4 , 978-3-642-13268-1
Publication language: English
Institution: School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
Abstract: Smart environments with ubiquitous sensing technologies are a promising perspective for reliable and continuous healthcare systems with reduced costs. A primary challenge for such assisted living systems is the automated recognition of everyday activities carried out by humans in their own home. In this work, we investigate the use of Markov Logic Networks as a framework for activity recognition within intelligent home-like environments equipped with pervasive light-weight sensor technologies. In particular, we explore the ability of MLNs to capture temporal relations and background knowledge for improving the recognition performance.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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