An ontological framework for activity monitoring and reminder reasoning in an assisted environment

Abstract

An activity monitoring and reminder delivery framework, referred to as iMessenger, is presented. iMessenger includes five independent modules and adopts a layered structure to assemble each of these modules: context sensing, context extraction, context management, context-aware reminders, and human–computer interactions. This paper presents the details of the context management module that has adopted ontological modeling and reasoning technologies. The ontological approach can support both distributed context integration and advanced temporal reasoning capabilities. iMessenger has the ability to infer inconsistencies between what the user was expected to do and what the user is actually doing, and supply appropriate feedback to encourage people to follow their predefined agendas correctly in addition to keep healthy postures during their daily activities. The framework has been validated using simulated scenarios within the Protégé environment.

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Acknowledgments

The authors acknowledge the support of University of Ulster Vice Chancellor Scholarship Programme, and thank all members of the Smart Environments Research Group for their help with collecting the experimental data.

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Correspondence to Shumei Zhang.

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Zhang, S., McCullagh, P., Nugent, C. et al. An ontological framework for activity monitoring and reminder reasoning in an assisted environment. J Ambient Intell Human Comput 4, 157–168 (2013). https://doi.org/10.1007/s12652-011-0063-1

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Keywords

  • Ontological modeling
  • Temporal reasoning
  • Context-awareness
  • Activity monitoring
  • Location detection