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

Shumeii Zhang, Paul McCullagh, Chris Nugent, Huiru Zheng, Norman Black

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationAdvances in Computational Intelligence
EditorsJoan Cabestany, Ignacio Rojas, Gonzalo Joya
PublisherSpringer
Pages677-684
Volume6692
ISBN (Print)ISBN 978-3-642-21497-4
DOIs
Publication statusPublished - 2011

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Zhang, S., McCullagh, P., Nugent, C., Zheng, H., & Black, N. (2011). An Ontological Approach for Context-Aware Reminders in Assisted Living’ Behavior Simulation. In J. Cabestany, I. Rojas, & G. Joya (Eds.), Advances in Computational Intelligence (Vol. 6692, pp. 677-684). Springer. https://doi.org/10.1007/978-3-642-21498-1_85