Adaptive prompting based on petri net in a smart medication system

Lei Tant, Xingshe Zhou, Zhiwen Yu, Daqing Zhang, Hongbo Ni

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

We conduct a study to determine when best to provide reminders by recognizing the interruption relations that occur in human behaviors. A model based on Petri Net to describe the execution of multiple activities is proposed. This approach aids the automatic analysis of activity interruption and supports adaptive prompting. We describe our experience in building a medication system that provides context-aware reminders for elder adults to take their medication. Experimental results show that our system can improve users' medication adherence in an efficient and flexible way.

Original languageEnglish
Title of host publication2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010
Pages328-333
Number of pages6
DOIs
StatePublished - 2010
Event2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010 - Mannheim, Germany
Duration: 29 Mar 20102 Apr 2010

Publication series

Name2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010

Conference

Conference2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010
Country/TerritoryGermany
CityMannheim
Period29/03/102/04/10

Keywords

  • Adaptive prompting
  • Medication
  • Petri Net
  • Ubiquitous computing

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