A Semantic Web-of-Things Architecture for Monitoring the Risk of Bedsores

Rita Zgheib (1) , Rémi Bastide (2) , Emmanuel Conchon (3, 4, 5)

1 IRIT-ELIPSE - Etude de L’Interaction Personne SystèmE
2 IRIT-SIG - Systèmes d’Informations Généralisées
3 XLIM-MATHIS - Mathématiques & Sécurité de l'information
4 UNILIM - Université de Limoges
5 IRIT-RMESS - Réseaux, Mobiles, Embarqués, Sans fil, Satellites

Bedsores are a common injury that mainly plagues elders and frail persons, and are a major cause of concerns in medical institutions. We present a system based on the Internet-of-Things technologies, aiming at detecting the risk of bedsores using sensor fusion. This paper mainly focuses on the software architecture of the proposed system, based on the principles of weak coupling and of semantic data exchange. We present a model of the application in terms of the Semantic Sensor Network (SSN) ontology.

Mots clés: Semantic middleware; Internet Of Things; Home care; Bedsore detection

Domaines: Réseaux et télécommunications [cs.NI]

Rita Zgheib, Rémi Bastide, Emmanuel Conchon. A Semantic Web-of-Things Architecture for Monitoring the Risk of Bedsores. International Conference on Computational Science and Computational Intelligence (CSCI 2015), Las Vegas, USA, Dec 2015, Las Vegas, United States. ⟨10.1109/CSCI.2015.128⟩. ⟨hal-01267282⟩