A context-aware reminder system for elders based on fuzzy linguistic approach

Authors:
Shandan Zhou;Chao-Hisen Chu;Zhiwen Yu;Jungyoon Kim
Affiliations:
College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA 16802, United States and School of Computer Sciences and Engineering, Northwestern Polytechin ...;College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA 16802, United States;School of Computer Sciences and Engineering, Northwestern Polytechinical University, Xián 710129, PR China;College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA 16802, United States
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

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Abstract

To date, several reminder systems for elders have been developed, but when and how to prompt the reminding message has not been fully explored yet. This paper presents a context-aware system that provides reminding messages for elders based on fuzzy linguistic model in order to properly deliver a reminder in an appropriate time and way. By separating the user activity contexts and contexts utilized to trigger a reminder, it is much easier for the elderly or their care givers to schedule and maintain reminders. We first adopt a fuzzy linguistic model to determine the prompting level based on the interrupt degree of user current activity and the urgent level of to-be-prompt reminder. An adaptive mapping strategy is then presented to transfer the prompting level into machine-readable parameters. Finally, the proposed approach is verified through our system prototype and experiments.