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.
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Fugini, M., Pinardi, S., Raibulet, C. (2012). Smart Solutions for Risk Prevention through Analysis of People Movements. In: Rautiainen, M., et al. Grid and Pervasive Computing Workshops. GPC 2011. Lecture Notes in Computer Science, vol 7096. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27916-4_2
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DOI: https://doi.org/10.1007/978-3-642-27916-4_2
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