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: http://ecareathome.se/
Publications
2019
Gibson Chimamiwa; Marjan Alirezaie; Hadi Banaee; Uwe Köckemann; Amy Loutfi
Towards Habit Recognition in Smart Homes for People with Dementia Inproceedings
In: European Conference on Ambient Intelligence, pp. 363-369, Springer, Cham, 2019.
@inproceedings{ami2019,
title = {Towards Habit Recognition in Smart Homes for People with Dementia},
author = {Gibson Chimamiwa and Marjan Alirezaie and Hadi Banaee and Uwe Köckemann and Amy Loutfi},
year = {2019},
date = {2019-11-13},
booktitle = {European Conference on Ambient Intelligence},
pages = {363-369},
publisher = {Springer, Cham},
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2018
Marjan Alirezaie; Karl Hammar; Eva Blomqvist; Mikael Nystrom; Valentina Ivanova
SmartEnv Ontology in E-care@home Workshop
Proceedings of the 9th International Semantic Sensor Networks Workshop, 2213 , 2018, ISSN: 1613-0073.
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title = {SmartEnv Ontology in E-care@home},
author = {Marjan Alirezaie and Karl Hammar and Eva Blomqvist and Mikael Nystrom and Valentina Ivanova},
issn = {1613-0073},
year = {2018},
date = {2018-09-10},
booktitle = {Proceedings of the 9th International Semantic Sensor Networks Workshop},
volume = {2213},
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Marjan Alirezaie; Karl Hammar; Eva Blomqvist
SmartEnv as a Network of Ontology Patterns Journal Article
In: Semantic Web Journal (SWJ), 2018, ISSN: 1570-0844.
@article{swj-ecare,
title = {SmartEnv as a Network of Ontology Patterns},
author = {Marjan Alirezaie and Karl Hammar and Eva Blomqvist},
editor = {Aldo Gangemi},
url = {http://www.semantic-web-journal.net/system/files/swj1777.pdf},
issn = {1570-0844},
year = {2018},
date = {2018-03-20},
journal = {Semantic Web Journal (SWJ)},
abstract = {In this article we outline the details of an ontology, called SmartEnv, proposed as a representational model to assist the development process of smart (i.e., sensorized) environments. The SmartEnv ontology is described in terms of its modules representing different aspects including physical and conceptual aspects of a smart environment. We propose the use of the Ontology Design Pattern (ODP) paradigm in order to modularize our proposed solution, while at the same time avoiding strong dependencies between the modules in order to manage the representational complexity of the ontology. The ODP paradigm and related methodologies enable incremental construction of ontologies by first creating and then linking small modules. Most modules (patterns) of the SmartEnv ontology are inspired by, and aligned with, the Semantic Sensor Network (SSN) ontology, however with extra interlinks to provide further precision and cover more representational aspects. The result is a network of 8 ontology patterns together forming a generic representation for a smart environment. The patterns have been submitted to the ODP portal and are available on-line at stable URIs.},
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pubstate = {published},
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In this article we outline the details of an ontology, called SmartEnv, proposed as a representational model to assist the development process of smart (i.e., sensorized) environments. The SmartEnv ontology is described in terms of its modules representing different aspects including physical and conceptual aspects of a smart environment. We propose the use of the Ontology Design Pattern (ODP) paradigm in order to modularize our proposed solution, while at the same time avoiding strong dependencies between the modules in order to manage the representational complexity of the ontology. The ODP paradigm and related methodologies enable incremental construction of ontologies by first creating and then linking small modules. Most modules (patterns) of the SmartEnv ontology are inspired by, and aligned with, the Semantic Sensor Network (SSN) ontology, however with extra interlinks to provide further precision and cover more representational aspects. The result is a network of 8 ontology patterns together forming a generic representation for a smart environment. The patterns have been submitted to the ODP portal and are available on-line at stable URIs.
2017
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.
@article{s17071586,
title = {An Ontology-based Context-aware System for Smart Homes: E-care@home},
author = {Marjan Alirezaie and Jennifer Renoux and Uwe Köckemann and Annica Kristoffersson and Lars Karlsson and Eva Blomqvist and Nicolas Tsiftes and Thiemo Voigt and Amy Loutfi},
url = {http://www.mdpi.com/1424-8220/17/7/1586},
doi = {10.3390/s17071586},
issn = {1424-8220},
year = {2017},
date = {2017-07-06},
journal = {Sensors},
volume = {17},
number = {7},
abstract = {Smart home environments have a significant potential to provide for long-term monitoring of users with special needs in order to promote the possibility to age at home. Such environments are typically equipped with a number of heterogeneous sensors that monitor both health and environmental parameters. This paper presents a framework called E-care@home, consisting of an IoT infrastructure, which provides information with an unambiguous, shared meaning across IoT devices, end-users, relatives, health and care professionals and organizations. We focus on integrating measurements gathered from heterogeneous sources by using ontologies in order to enable semantic interpretation of events and context awareness. Activities are deduced using an incremental answer set solver for stream reasoning. The paper demonstrates the proposed framework using an instantiation of a smart environment that is able to perform context recognition based on the activities and the events occurring in the home.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Smart home environments have a significant potential to provide for long-term monitoring of users with special needs in order to promote the possibility to age at home. Such environments are typically equipped with a number of heterogeneous sensors that monitor both health and environmental parameters. This paper presents a framework called E-care@home, consisting of an IoT infrastructure, which provides information with an unambiguous, shared meaning across IoT devices, end-users, relatives, health and care professionals and organizations. We focus on integrating measurements gathered from heterogeneous sources by using ontologies in order to enable semantic interpretation of events and context awareness. Activities are deduced using an incremental answer set solver for stream reasoning. The paper demonstrates the proposed framework using an instantiation of a smart environment that is able to perform context recognition based on the activities and the events occurring in the home.
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.
@inproceedings{Renoux1061392,
title = {Context Recognition in Multiple Occupants Situations: Detecting the Number ofAgents in a Smart Home Environment with Simple Sensors},
author = { Jennifer Renoux and Marjan Alizeraie and Lars Karlsson and Uwe Köckemann and Federico Pecora and Amy Loutfi},
url = {https://mpi.aass.oru.se/wp-content/uploads/2017/08/KnowProS2017-jrx-mae-fpa-lkn-ali-ukn.pdf},
year = {2017},
date = {2017-01-01},
booktitle = {Knowledge-based techniques for problem solving and reasoning (KnowProS 2017) :},
institution = {Örebro University, School of Science and Technology, Örebro University, Sweden},
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2016
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.
@inproceedings{Prytz2016,
title = { E-care@home: Initial Usability Considerations.},
author = {Erik Prytz and Annica Kristoffersson and Maria Lindén and Nikola Petrovic and Mobyen Uddin Ahmed and Leili Lind},
url = {https://mpi.aass.oru.se/wp-content/uploads/2016/10/ecareathome.pdf},
year = {2016},
date = {2016-10-05},
booktitle = { I: Abstractproceedings from Medicinteknikdagarna},
address = {Örebro, Sweden},
keywords = {},
pubstate = {published},
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