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
Link To Document :
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