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

Marjan Alirezaie1, Jennifer Renoux2, Uwe Köckemann3

  • 1Center for Applied Autonomous Sensor Systems, Örebro University, 70182 Örebro, Sweden. marjan.alirezaie@oru.se.

Sensors (Basel, Switzerland)
|July 8, 2017
PubMed
Summary

The E-care@home framework uses Internet of Things (IoT) infrastructure and ontologies for smart home monitoring. This enables semantic interpretation of events and context awareness for users needing special care.

Keywords:
Internet of Thingsactivity recognitionambient assisted livingcontext awarenessontologiessmart homes

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Ubiquitous Computing

Background:

  • Smart home environments offer potential for long-term monitoring of individuals with special needs.
  • Heterogeneous sensors in smart homes collect health and environmental data.
  • Aging at home requires robust monitoring solutions.

Purpose of the Study:

  • To present the E-care@home framework for smart home monitoring.
  • To enable semantic interpretation of data from heterogeneous IoT devices.
  • To promote context awareness and activity recognition for users needing special care.

Main Methods:

  • Developed an Internet of Things (IoT) infrastructure for data integration.
  • Utilized ontologies for unambiguous data meaning and semantic interpretation.
  • Employed an incremental answer set solver for stream reasoning to deduce activities.

Main Results:

  • Integrated heterogeneous sensor measurements using ontologies.
  • Enabled semantic interpretation of events and context awareness.
  • Demonstrated context recognition based on activities and events in a smart home instantiation.

Conclusions:

  • The E-care@home framework facilitates smart home monitoring for users with special needs.
  • Ontology-based semantic interpretation enhances context awareness.
  • The framework supports the goal of enabling individuals to age at home safely.