Smart home context awareness based on Smart and Innovative Cities

ABSTRACT

In the emerging Smart Cities - Smart Homes computing paradigms developing a formalization for context information is increasingly important. In the present paper, basedon the EU FIRE research project "Social and Smart" we aim to formalize and build a complete formal definition of context in both home and city scale. Using sensors as a Smart City service and local sensors installed locally in Smart Homes, it is possible to collect continuously context data, such as temperature, humidity, noise and pollution levels. This context information can be used to adapt to user-specific needs in the Smart Home environment via the incorporation of user defined home rules. Semantic web technologies are used to support the knowledge representation of this ecosystem. The overall architecture has been experimentally verified using input from the SmartSantander Smart City project and applying it to the SandS Smart Home within the FIRE and FIWARE framework. Finally, two examples are presented in order to stress how the smart home appliances adapt their function to home rules and context information.

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Index Terms

• Computer systems organization

  • Embedded and cyber-physical systems

  • Real-time systems

• Computing methodologies

  • Machine learning

    • Machine learning approaches

      • Neural networks

• Hardware

  • Emerging technologies

    • Circuit substrates

      • Cellular neural networks

• Information systems

  • Information systems applications

    • Decision support systems

      • Expert systems

• Theory of computation

  • Theory and algorithms for application domains

    • Machine learning theory