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EaST: Earth Seismic Tomographer

Authors:
Ida Bifulco
Rita Francese
Ignazio Passero
Genoveffa Tortora

Keywords: Smart Devices, Earthquakes, Seismic Tomography, Accelerometer Sensing, Neural Networks

Abstract:
The recent diffusion of smart mobile devices deeply influences current technological landscapes also supported by a blooming market economy. New forms of users, interaction styles and ubiquitous paradigms are growing with this technological revolution. Connected mobile devices equipped with accelerometers represent, for geological Research, the opportunity to increase the information on several phenomena that are difficult to study because of the limited availability of observation data. Information provided from a cloud of mobile sensors, randomly localized on the territory, may contribute to extend the fixed nature and the very limited number of traditional Earth observation points. This paper describes the Earth Seismic Tomographer system, a mobile application that analyzes triaxial accelerometer data, aiming at collecting travel time information on earthquake events. The system relies on the voluntary participation of users that devote personal mobile resources to detect and provide seismic data to the central server. The Earth Seismic Tomographer adopts neural network classifiers to separate user movement from the seismic signal. The proposed system will increase the amount of information on seismic events enabling Earth scientists to study problems still undetermined with the currently available data.

Pages: 202 to 207

Copyright: Copyright (c) IARIA, 2010

Publication date: October 25, 2010

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-100-7

Location: Florence, Italy

Dates: from October 25, 2010 to October 30, 2010