Visual Analytics on Mobile Devices for Emergency Response

  • Authors:

  • Sung Ye Kim;Yun Jang;Angela Mellema;David S. Ebert;Timothy Collinss

  • Affiliations:

  • Purdue University Regional Visualization and Analytics Center (PURVAC), Purdue University, West Lafayette, IN. e-mail: inside@purdue.edu;Purdue University Regional Visualization and Analytics Center (PURVAC), Purdue University, West Lafayette, IN. e-mail: inside@purdue.edu, jangy@purdue.edu;Purdue University Regional Visualization and Analytics Center (PURVAC), Purdue University, West Lafayette, IN. e-mail: inside@purdue.edu, amellema@purdue.edu;Purdue University Regional Visualization and Analytics Center (PURVAC), Purdue University, West Lafayette, IN. e-mail: inside@purdue.edu, ebertd@purdue.edu;Purdue Homeland Security Institute (PHSI), Purdue University, West Lafayette, IN. e-mail: tfcollins@purdue.edu

  • Venue:
  • VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
  • Year:
  • 2007

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Abstract

Using mobile devices for visualization provides a ubiquitous environment for accessing information and effective decision making. These visualizations are critical in satisfying the knowledge needs of operators in areas as diverse as education, business, law enforcement, protective services, medical services, scientific discovery, and homeland security. In this paper, we present an efficient and interactive mobile visual analytic system for increased situational awareness and decision making in emergency response and training situations. Our system provides visual analytics with locational scene data within a simple interface tailored to mobile device capabilities. In particular, we focus on processing and displaying sensor network data for first responders. To verify our system, we have used simulated data of The Station nightclub fire evacuation.