An Ontological Approach for Context-Aware Reminders in Assisted Living’ Behavior Simulation

  • Shumei Zhang
  • Paul McCullagh
  • Chris Nugent
  • Huiru Zheng
  • Norman Black
Conference paper

DOI: 10.1007/978-3-642-21498-1_85

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6692)
Cite this paper as:
Zhang S., McCullagh P., Nugent C., Zheng H., Black N. (2011) An Ontological Approach for Context-Aware Reminders in Assisted Living’ Behavior Simulation. In: Cabestany J., Rojas I., Joya G. (eds) Advances in Computational Intelligence. IWANN 2011. Lecture Notes in Computer Science, vol 6692. Springer, Berlin, Heidelberg

Abstract

A context-aware reminder framework, which aims to assist elderly people to live safely and independently within their own home, is described. It combines multiple contexts extracted from different modules such as activity monitoring, location detection, and predefined routine to monitor and analyze personal activities of daily living. Ontological modeling and reasoning techniques are used to integrate various heterogeneous contexts, and to infer whether a fall or abnormal activity has occurred; whether the user is in unhealthy postures; and whether the user is following their predefined schedule correctly. Therefore this framework can analyse behaviour to infer user compliance to a healthy lifestyle, and supply appropriate feedback and reminder delivery. The ontological approach for context-awareness can provide both distributed context integration and advanced temporal reasoning capabilities.

Keywords

ontological modeling temporal reasoning context-awareness reminder behavior analysis 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Shumei Zhang
    • 1
  • Paul McCullagh
    • 1
  • Chris Nugent
    • 1
  • Huiru Zheng
    • 1
  • Norman Black
    • 1
  1. 1.School of Computing and MathematicsUniversity of UlsterUK

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