• DocumentCode
    1881327
  • Title

    Interactive visual analytic tools for forensic analysis of mass casualty incidents using DIORAMA system

  • Author

    Ganz, Aura ; Schafer, James ; Jingyan Tang ; Zhuorui Yang ; Jun Yi ; Ciottone, Gregory

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. of Massachusetts, Amherst, MA, USA
  • fYear
    2015
  • fDate
    14-16 April 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper we introduce DIORAMA based interactive visual analytics tools that enable forensic analysis of mass casualty incidents. Using visualization tools we can get an overview of data collections as well as zoom into interesting details and filter datasets by comparing the data items based on some attribute values (e.g. display all the red patients, display the motion of a specific responder). The incident investigators may want (for example) to know not only where the responders are during the incident but also the responders´ motion patterns and tasks performed. Other information that can be obtained is the distribution of patients in the disaster site and their mobility patterns.
  • Keywords
    data visualisation; digital forensics; emergency management; geographic information systems; interactive devices; DIORAMA based interactive visual analytics tool; DIORAMA system; disaster site; forensic analysis; incident investigator; interactive visual analytic tool; mass casualty incident; mobility pattern; motion pattern; visualization tool; Active RFID tags; Data visualization; Forensics; Geospatial analysis; Servers; Smart phones; Visual analytics; DIORAMA; Data Visualization; Mass Casualty Incidents; Visual Analytics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Technologies for Homeland Security (HST), 2015 IEEE International Symposium on
  • Conference_Location
    Waltham, MA
  • Print_ISBN
    978-1-4799-1736-5
  • Type

    conf

  • DOI
    10.1109/THS.2015.7225265
  • Filename
    7225265