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

  • Shandan Zhou
  • , Chao Hisen Chu
  • , Zhiwen Yu
  • , Jungyoon Kim

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)9411-9419
Number of pages9
JournalExpert Systems With Applications
Volume39
Issue number10
DOIs
StatePublished - Aug 2012

All Science Journal Classification (ASJC) codes

  • General Engineering
  • Computer Science Applications
  • Artificial Intelligence

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