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Sensors 2014, 14(3), 5354-5391; doi:10.3390/s140305354

Modeling Users, Context and Devices for Ambient Assisted Living Environments

1
Deusto Institute of Technology—DeustoTech, University of Deusto, Avda. Universidades 24,Bilbao 48007, Spain
2
School of Computer Science and Informatics, Faculty of Technology, De Montfort University, Gateway House, The Gateway, Leicester, LE1 9BH, UK
*
Author to whom correspondence should be addressed.
Received: 23 January 2014 / Revised: 3 March 2014 / Accepted: 11 March 2014 / Published: 17 March 2014
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Abstract

The participation of users within AAL environments is increasing thanks to the capabilities of the current wearable devices. Furthermore, the significance of considering user’s preferences, context conditions and device’s capabilities help smart environments to personalize services and resources for them. Being aware of different characteristics of the entities participating in these situations is vital for reaching the main goals of the corresponding systems efficiently. To collect different information from these entities, it is necessary to design several formal models which help designers to organize and give some meaning to the gathered data. In this paper, we analyze several literature solutions for modeling users, context and devices considering different approaches in the Ambient Assisted Living domain. Besides, we remark different ongoing standardization works in this area. We also discuss the used techniques, modeled characteristics and the advantages and drawbacks of each approach to finally draw several conclusions about the reviewed works.
Keywords: AAL; human-computer interaction; user; context; device; modeling; context-awareness; user capabilities AAL; human-computer interaction; user; context; device; modeling; context-awareness; user capabilities
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

Castillejo, E.; Almeida, A.; López-de-Ipiña, D.; Chen, L. Modeling Users, Context and Devices for Ambient Assisted Living Environments. Sensors 2014, 14, 5354-5391.

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