Skip to Main content Skip to Navigation
Conference papers

Smartphone sensing platform for emergency management

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [11 references]  Display  Hide  Download
Contributor : Julie Dugdale Connect in order to contact the contributor
Submitted on : Saturday, June 14, 2014 - 1:53:05 PM
Last modification on : Sunday, June 26, 2022 - 9:35:31 AM
Long-term archiving on: : Sunday, September 14, 2014 - 10:42:07 AM


Files produced by the author(s)


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



Jaziar Radianti, Julie Dugdale, Jose J. 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. ⟨hal-01006234⟩



Record views


Files downloads