Mobile analytics for emergency response and training

Sungye Kim, Ross MacIejewski, Karl Ostmo, Edward J. Delp, Timothy F. Collins, David S. Ebert

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

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 fast-forward/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 Vision SM smart device PPC-6700.

Original languageEnglish (US)
Pages (from-to)77-88
Number of pages12
JournalInformation Visualization
Volume7
Issue number1
DOIs
StatePublished - Mar 2008
Externally publishedYes

Keywords

  • Emergency response
  • Mobile visualization
  • Visual analytics

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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