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
Fugini, M., Pinardi, S., Raibulet, C. (2012). Smart Solutions for Risk Prevention through Analysis of People Movements. In Grid and Pervasive Computing Workshops. International Workshops, S3E, HWTS, Doctoral Colloquium Held in Conjunction with GPC 2011. Revised Selected Papers (pp.3-13) [10.1007/978-3-642-27916-4_2].
Smart Solutions for Risk Prevention through Analysis of People Movements
PINARDI, STEFANO;RAIBULET, CLAUDIA
2012
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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