• DocumentCode
    2218006
  • Title

    Visual Analytics on Mobile Devices for Emergency Response

  • Author

    Kim, SungYe ; Jang, Yun ; Mellema, Angela ; Ebert, David S. ; Collins, Timothy

  • Author_Institution
    Purdue Univ., West Lafayette
  • fYear
    2007
  • fDate
    Oct. 30 2007-Nov. 1 2007
  • Firstpage
    35
  • Lastpage
    42
  • 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.
  • Keywords
    data visualisation; decision making; emergency services; information retrieval; interactive systems; mobile computing; data visualization; decision making; emergency response; fire evacuation; information access; interactive mobile visual analytic system; mobile devices; situational awareness; ubiquitous environment; Computer graphics; Data analysis; Data visualization; Decision making; Handheld computers; Information analysis; Mobile computing; Sensor systems; Terrorism; Visual analytics; emergency response; mobile visualization; visual analytics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology, 2007. VAST 2007. IEEE Symposium on
  • Conference_Location
    Sacramento, CA
  • Print_ISBN
    978-1-4244-1659-2
  • Type

    conf

  • DOI
    10.1109/VAST.2007.4388994
  • Filename
    4388994