An Ontology-Based Actuator Discovery and Invocation Framework in Home Care Systems

  • Authors:
  • Feng Wang;Kenneth J. Turner

  • Affiliations:
  • Department of Computing Science, University of Stirling, Stirling, Scotland FK9 4LA;Department of Computing Science, University of Stirling, Stirling, Scotland FK9 4LA

  • Venue:
  • ICOST '09 Proceedings of the 7th International Conference on Smart Homes and Health Telematics: Ambient Assistive Health and Wellness Management in the Heart of the City
  • Year:
  • 2009

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Abstract

Home care systems need to be personalised to meet individual needs, and must be easily adjusted as the user's symptoms develop. Care policies (i.e. Event-Condition-Action rules) can be used to specify care services, facilitating changes in the behaviour of a home care system. Context modelling allows a user to specify the trigger and conditions of a care policy, using high-level context rather than raw sensor data. The actions of a care policy are, however, still dependent on the implementations details of actuators. We propose a framework that allows the actions of a care policy to be specified abstractly using human-understandable concepts. The framework takes care of discovering and using specific actuators, hiding the low-level home networking details from ordinary users. It therefore makes personalisation and modification of home care systems more accessible to ordinary users, requiring very little technical knowledge.