Smartphone sensing platform for emergency management

Jaziar Radianti 1 Julie Dugdale 2 Jose Gonzalez 1 Ole-Christoffer Granmo 1
2 MAGMA
LIG - Laboratoire d'Informatique de Grenoble
Abstract : The increasingly sophisticated sensors supported by modern smartphones open up novel research opportunities, such as mobile phone sensing. One of the most challenging of these research areas is context-aware and activity recognition. The SmartRescue project takes advantage of smartphone sensing, processing and communication capabilities to monitor hazards and track people in a disaster. The goal is to help crisis managers and members of the public in early hazard detection, prediction, and in devising risk-minimizing evacuation plans when disaster strikes. In this paper we suggest a novel smartphone-based communication framework. It uses specific machine learning techniques that intelligently process sensor readings into useful information for the crisis responders. Core to the framework is a content-based publish-subscribe mechanism that allows flexible sharing of sensor data and computation results. We also evaluate a preliminary implementation of the platform, involving a smartphone app that reads and shares mobile phone sensor data for activity recognition.
Type de document :
Communication dans un congrès
11th International Conference on Information Systems for Crisis Response and Management ISCRAM2014, May 2014, Penn State, United States. 2014
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Contributeur : Julie Dugdale <>
Soumis le : samedi 14 juin 2014 - 13:53:05
Dernière modification le : jeudi 26 juillet 2018 - 14:04:04
Document(s) archivé(s) le : dimanche 14 septembre 2014 - 10:42:07

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  • HAL Id : hal-01006234, version 1
  • ARXIV : 1406.3848

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Jaziar Radianti, Julie Dugdale, Jose Gonzalez, Ole-Christoffer Granmo. Smartphone sensing platform for emergency management. 11th International Conference on Information Systems for Crisis Response and Management ISCRAM2014, May 2014, Penn State, United States. 2014. 〈hal-01006234〉

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