An Active Classification System for Context Representation and Acquisition

  • Authors:
  • Fulvio Mastrogiovanni;Antonio Sgorbissa;Renato Zaccaria

  • Affiliations:
  • Laboratorium DIST, University of Genova, Italy;Laboratorium DIST, University of Genova, Italy;Laboratorium DIST, University of Genova, Italy

  • Venue:
  • Proceedings of the 2007 conference on Advances in Ambient Intelligence
  • Year:
  • 2007

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Abstract

This work deals with a distributed knowledge representation and active information fusion system suitable for use in Ambient Intelligence applications. The architecture --which is modeled as a multi-agent system --exploits a sound formal model to relate numerical data to symbolic representations, thus being able to reason about predicates, situations and contexts. In particular, agents collaborate to perform an intelligent multi-sensor data fusion according to the guidance of an active classification layer. Experimental results performed both in simulation and in a real set-up are discussed with respect to a number of implications and future directions related to the system approach.