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Sensors 2014, 14(9), 17313-17330;

Integration of Multisensor Hybrid Reasoners to Support Personal Autonomy in the Smart Home

Departamento de Ingeniería y Arquitecturas Telemáticas, Universidad Politécnica de Madrid, Carretera de Valencia km. 7, Madrid 28031, Spain
MAmI Research Lab, Universidad de Castilla La Mancha, Ciudad Real 13071, Spain
Universidad de Alicante, Alicante 03690, Spain
Deusto Institute of Technology, DeustoTech, University of Deusto, Avda. Universidades 24, Bilbao 48007, Spain
Author to whom correspondence should be addressed.
Received: 11 April 2014 / Revised: 5 June 2014 / Accepted: 2 September 2014 / Published: 17 September 2014
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The deployment of the Ambient Intelligence (AmI) paradigm requires designing and integrating user-centered smart environments to assist people in their daily life activities. This research paper details an integration and validation of multiple heterogeneous sensors with hybrid reasoners that support decision making in order to monitor personal and environmental data at a smart home in a private way. The results innovate on knowledge-based platforms, distributed sensors, connected objects, accessibility and authentication methods to promote independent living for elderly people. TALISMAN+, the AmI framework deployed, integrates four subsystems in the smart home: (i) a mobile biomedical telemonitoring platform to provide elderly patients with continuous disease management; (ii) an integration middleware that allows context capture from heterogeneous sensors to program environment´s reaction; (iii) a vision system for intelligent monitoring of daily activities in the home; and (iv) an ontologies-based integrated reasoning platform to trigger local actions and manage private information in the smart home. The framework was integrated in two real running environments, the UPM Accessible Digital Home and MetalTIC house, and successfully validated by five experts in home care, elderly people and personal autonomy. View Full-Text
Keywords: Ambient Assisted Living; intelligent systems; sensors networks; smart home Ambient Assisted Living; intelligent systems; sensors networks; smart home

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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

Valero, M.Á.; Bravo, J.; Chamizo, J.M.G.; López-de-Ipiña, D. Integration of Multisensor Hybrid Reasoners to Support Personal Autonomy in the Smart Home. Sensors 2014, 14, 17313-17330.

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