Smart solutions for risk prevention through analysis of people movements

  • Authors:
  • MariaGrazia Fugini;Stefano Pinardi;Claudia Raibulet

  • Affiliations:
  • Dipartimento di Elettronica e Informatica, Politecnico di Milano, Milan, Italy;Dipartimento di Informatica, Sistemistica e Comunicazione, Università degli Studi di Milano-Bicocca, Milan, Italy;Dipartimento di Informatica, Sistemistica e Comunicazione, Università degli Studi di Milano-Bicocca, Milan, Italy

  • Venue:
  • GPC'11 Proceedings of the 6th international conference on Grid and Pervasive Computing
  • Year:
  • 2011

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Abstract

The high number of accidents in living areas, work environments, and ambient, in general, can benefit of prevention mechanisms able to identify the causes and the indications which precede accidents, and to put in place strategies to avoid risks whenever this is possible. To this aim, this paper presents a risk management architecture for monitoring movements within a smart ambient and managing possible risks. In particular, we present a methodology for movement analysis aimed at detecting and preventing risks. Results from experimentations are discussed.