Event recognition for assisted independent living

  • Authors:
  • Nikos Katzouris;Alexander Artikis;Fillia Makedon;Vangelis Karkaletsis;George Paliouras

  • Affiliations:
  • National Centre for Scientific Research (NCSR), Athens, Greece;National Centre for Scientific Research (NCSR), Athens, Greece;University of Texas at Arlington, Arlington, Texas;National Centre for Scientific Research (NCSR), Athens, Greece;National Centre for Scientific Research (NCSR), Athens, Greece

  • Venue:
  • Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments
  • Year:
  • 2013

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Abstract

We present the application of a recently proposed probabilistic logical formalism, on the task of sensor data fusion in the USEFIL project. USEFIL seeks to extract valuable knowledge concerning the well-being of elderly people by combining information coming from low-cost, unobtrusive monitoring devices. The approach we adopt to device its data fusion component is based on the Event Calculus and the stochastic logic programming language ProbLog and aims towards constructing a semantic representation of the received data, usable by a Decision Support System that will assist elderly people in their every day activities and will provide to doctors, relatives and carers insights on the user's behaviour and health.