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Sensors 2014, 14(6), 11110-11134; doi:10.3390/s140611110

Context Graphs as an Efficient and User-Friendly Method of Describing and Recognizing a Situation in AAL

Computer Science Department, University Politehnica of Bucharest, 313 Splaiul Independentei, 060042 Bucharest, Romania
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Received: 15 March 2014 / Revised: 29 May 2014 / Accepted: 17 June 2014 / Published: 23 June 2014
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Abstract

In the field of ambient assisted living, the best results are achieved with systems that are less intrusive and more intelligent, that can easily integrate both formal and informal caregivers and that can easily adapt to the changes in the situation of the elderly or disabled person. This paper presents a graph-based representation for context information and a simple and intuitive method for situation recognition. Both the input and the results are easy to visualize, understand and use. Experiments have been performed on several AAL-specific scenarios. View Full-Text
Keywords: ambient assisted living; ambient intelligence; context awareness; context graphs; context patterns; graph matching; situation recognition ambient assisted living; ambient intelligence; context awareness; context graphs; context patterns; graph matching; situation recognition
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Olaru, A.; Florea, A.M. Context Graphs as an Efficient and User-Friendly Method of Describing and Recognizing a Situation in AAL. Sensors 2014, 14, 11110-11134.

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