Chapter

Advances in Computational Intelligence

Volume 6692 of the series Lecture Notes in Computer Science pp 677-684

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

  • Shumei ZhangAffiliated withSchool of Computing and Mathematics, University of Ulster
  • , Paul McCullaghAffiliated withSchool of Computing and Mathematics, University of Ulster
  • , Chris NugentAffiliated withSchool of Computing and Mathematics, University of Ulster
  • , Huiru ZhengAffiliated withSchool of Computing and Mathematics, University of Ulster
  • , Norman BlackAffiliated withSchool of Computing and Mathematics, University of Ulster

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