Mobile Analytics for Emergency Response and Training
     
SungYe Kim
Ross Maciejewski
Karl Ostmo
Purdue University
Purdue University
Purdue University
Edward J. Delp
Timothy F. Collins
David S. Ebert
Purdue University
Purdue University
Purdue University

 
Abstract
During emergency response events, situational awareness is critical in effectively managing and safe-guarding civilians and in-field personnel. To better support both command center controllers and in-field operators, we have developed a mobile visual analytics tool to help enhance situational awareness and support rapid decision making. Our mobile visual analytics tool consists of a 2D/3D visualization component, which shows personnel-related information, situational and static scene-related information, integrated multi media playback functionality for personnel outfitted with cameras, and fastforward/ rewind capabilities for reviewing events. Our current system has been employed in the evaluation of two different scenarios: a simulated evacuation of The Station nightclub fire that occurred in Rhode Island during 2003 and a testing exercise for a rescue operation in an elementary school. Our system has been deployed on a Dell Axim X51v PDA, an OQO 02, and on a Sprint PCS VisionSM smart device PPC-6700.
 
@Article{Kim:2008:IVS,
author = {SungYe Kim, Ross Maciejewski, Karl Ostmo,
Edward J. Delp, Timothy F. Collins, David S. Ebert},
title = {Mobile Analytics for Emergency Response and Training},
journal = {Information Visualization},
year = {2008},
volume = {7},
number = {1},
pages = {77-88}
issn = {1473-8716},
doi = {http://doi.acm.org/10.1145/1391107.1391114},
publisher = {Palgrave Macmillan}
}
 
   
   
   

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