A current vision in the area of ICT-supported independent living of the elderly involves populating the home with electronic devices (“things”), i.e. sensors and actuators, and linking them to the Internet. Creating such an Internet-of-Things (IoT) infrastructure is done with the ambition to provide automated information gathering and processing on top of which e-services can be built, E-care@home.

While the information can be stored in the form of PHRs, it needs to be linked with e.g. EHRs, home-service documentation and documentation generated by information from end-users and their informal caregivers. Semantic-interoperability related technologies play a central role in ambient intelligence systems and their components such as pervasive/ubiquitous computing, profiling, context awareness, and human-centric design. While these things need to “talk” to each other, the heterogeneity of the services, devices and communication technologies is a major challenge for expanding generic IoT technologies to efficient ICT-supported services for elderly. This project is designed to address this interoperability challenge. Semantic interoperability is seen as a key requirement for gaining the benefits of computerization of the health domain and much effort has been invested to understand and provide solutions of the problem of achieving semantic interoperability.


E-care@home is a “SIDUS – Strong Distributed Research Environment” funded by the Swedish Knowledge Foundation – a research financier for universities with the task of strengthening Sweden’s competitiveness and ability to create value. Duration 01.03.2015 – 31.02.2020


Project webpage:




Marjan Alirezaie; Jennifer Renoux; Uwe Köckemann; Annica Kristoffersson; Lars Karlsson; Eva Blomqvist; Nicolas Tsiftes; Thiemo Voigt; Amy Loutfi

An Ontology-based Context-aware System for Smart Homes: E-care@home Journal Article

In: Sensors, 17 (7), 2017, ISSN: 1424-8220.

Abstract | Links | BibTeX

Jennifer Renoux; Marjan Alizeraie; Lars Karlsson; Uwe Köckemann; Federico Pecora; Amy Loutfi

Context Recognition in Multiple Occupants Situations: Detecting the Number ofAgents in a Smart Home Environment with Simple Sensors Inproceedings

In: Knowledge-based techniques for problem solving and reasoning (KnowProS 2017) :, 2017.

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Erik Prytz; Annica Kristoffersson; Maria Lindén; Nikola Petrovic; Mobyen Uddin Ahmed; Leili Lind

E-care@home: Initial Usability Considerations. Inproceedings

In: I: Abstractproceedings from Medicinteknikdagarna, Örebro, Sweden, 2016.

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