Overview

Effectively handling a mass-casualty incident is one of the greatest challenges a community's emergency medical system can face. Disasters disrupt the existing infrastructure and can hamper the efficiency of search-and-rescue units. In disaster medicine triage, determining the number and location of victims, relative to the location of available resources is crucial for maximizing and hastening rescue efforts.

To improve the management of response assets in a mass-casualty incident and coordinate the initial response, we developed and tested the "Dynamic Information Collection and Resource Tracking System for Disaster Management (DIORAMA)".

DIORAMA will provide the following capabilities:

  • real-time, scalable decision-support framework built for rapid information collection
  • accurate resource tracking
  • ability to identify the location and status of the casualties, responders, and emergency transport vehicles involved in a mass-casualty incident.
  • provide a visual aid that identifies the location and condition of the casualties as well as the available resources.

Emergency response vehicles will have communication servers that will collect and transmit the location and status information to an Incident Commander (a coordinator for the Paramedics located on-site or at a remote location). The information that is served to the Incident Commander can assist in making more informed, efficient decisions regarding the triage, evaluation and evacuation of victims from a disaster area.


DIORAMA News


  • Papers at the IEEE International Symposium on Technologies for Homeland Security (Waltham, MA, April 2017)
  • Papers at the International Conference on Information and Communication Technologies for Ageing Well and e-Health (Porto, Portugal, April 2017)
  • 5G Labs Presents at 2016 IEEE Engineering in Medicine and Biology Society (EMBC) Conference (August 2016)
  • 5G Labs Presents at 2016 IEEE International Symposium on Technologies for Homeland Security (May 2016)
  • Mass Life Article - UMass computer engineer Aura Ganz gets $1.6 million grant for disaster management system (Dec 2012)
  • UMass engineering professor receives grant to fund emergency-response system
  • DIORAMA featured in UMass In The Loop Article (Nov 2012)
  • Prof. Ganz and ECE Dept. Awarded $1.6-Million Four Year Grant from National Institute of Health (October 2012)
  • Yu Xunyi Awared Best Paper Contender
  • Finalist in Vodafone Wireless Innovation Project
  • GazetteNET - Nov. 2009
  • UMass - Nov. 2009
  • UMass - Sept. 2009

DIORAMA Publications


  • H. Dong, J. Yin, Z. Yang, and A. Ganz, "Disaster Preparedness: Subway Evacuation Training System for People with Disabilities using Annotated Video", IEEE 2017 International Symposium on Technologies for Homeland Security, Waltham, MA, Apr 2017.
  • Z. Yang, J. Schafer, A. Ganz, "Disaster Response: Victims' Localization using Bluetooth Low Energy Sensors", IEEE 2017 International Symposium on Technologies for Homeland Security, Waltham, MA, Apr 2017.
  • A. Ganz, J. Schafer, Z. Yang, J. Yi, G. Ciottone, "DIORAMA Enhances Efficiency of a Mass Casualty Incident: System and Experimentation", IEEE Engineering in Medicine and Biology Society (EMBC'16) Orlando, FL, August 2016.
  • H. Dong, J. Yin, J. Schafer. A. Ganz, "Spatial-temporal Forensic Analysis of Mass Casualty Incidents using Video Sequences", IEEE Engineering in Medicine and Biology Society (EMBC'16) Orlando, FL, August 2016.
  • Z. Yang, A. Ganz, "Vision-based Responders Localization Techniques in Urban Search and Rescue Scenarios", IEEE Engineering in Medicine and Biology Society (EMBC'16) Orlando, FL, August 2016.
  • Z. Yang, A. Ganz, "Infrastructure-less and Calibration-free RFID-based Localization Algorithm for Victim Tracking in Massive Casualty Incidents", IEEE Conference on Technologies for Homeland Security, Waltham, MA, May 2016.
  • J. Tang, J. Schafer, Z. Yang, A. Ganz, "Spatiotemporal Digital Forensic Toolkit for Mass Casualty Incidents: Interactive Incident Playback and Anomaly Detection", IEEE Conference on Technologies for Homeland Security, Waltham, MA, May 2016.
  • H. Dong, J. Schafer, A. Ganz, "Augmented Reality based Mass Casualty Incident Training System", IEEE Conference on Technologies for Homeland Security, Waltham, MA, May 2016.
  • A. Ganz, J. Schafer, J. Tang, Z. Yang, J. Yi, G. Ciottone, "Urban Search and Rescue Situational Awareness using DIORAMA Disaster Management System", Humanitarian Technology: Science, Systems and Global Impact, Boston MA, May 2015.
  • A. Ganz, J. Schafer, J. Tang, Z. Yang, J. Yi, G. Ciottone, "Interactive Visual Analytic Tools for Forensic Analysis of Mass Casualty Incidents using DIORAMA-II", IEEE HST, Waltham, MA, April 2015.
  • D. Yang, J. Schafer, S. Wang and A. Ganz, "Autonomous Mobile Platform for Enhanced Situational Awareness in Mass Casualty Incidents", IEEE Engineering in Medicine and Biology Society, Chicago, IL, August 2014.
  • A. Ganz, J. Schafer, Z. Yang, J. Yi, G. Lord, and G. Ciottone, "Mobile DIORAMA-II: Infrastructure less Information Collection System for Mass Casualty Incidents", IEEE Engineering in Medicine and Biology Society, Chicago, IL, August 2014.
  • S. Inampudi, R. Kondaveti, A, Ganz, "RETRA: Web Based Resource Allocation Tool for Emergency Management", International Journal of E-Health and Medical Communications., 4(3), 80-93, July-September 2013.
  • A. Ganz, J. Schafer, X. Yu, G. Lord, J, Burstein, G. Ciottone, "Real-time Scalable Resource Tracking Framework (DIORAMA) for Mass Casualty Incidents" International Journal of E-Health and Medical Communications, 4(2), 34-49, April-June 2013.
  • X. Yu, A. Ganz, "A Calibration Free Hybrid RF and Video Surveillance System for Reliable Tracking and Identification", IEEE Conference on Technologies for Homeland Security, Waltham, MA, November 2011.
  • A. Ganz, X. Yu, J. Schafer, G. Lord, "Real-time scalable resource tracking framework (DIORAMA): System Description and Experimentation", IEEE Conference on Technologies for Homeland Security, Waltham, MA, November 2011.
  • X. Yu, A. Ganz, "Scalable Patients Tracking Framework for Mass Casualty Incidents", IEEE Engineering in Medicine and Biology Society, Boston, MA, September, 2011.
  • X. Yu, A. Ganz, "MiRTE: Mixed Reality Triage and Evacuation Game for Mass Casualty Information Systems Design, Testing and Training", IEEE Engineering in Medicine and Biology Society, Boston, MA, September, 2011.
  • X. Yu, A. Ganz, "Global Identification of Tracklets in Video using Long Range Identity Sensors", AVSS 2010 , IEEE Advanced Video and Signal Based Surveillance *29 August - 1 September, 2010, Boston MA.
  • A. Ganz, X. Yu, J. Schafer, S. D'Hauwe, G. Lord, 1. A. Ganz, X. Yu, J. Schafer, S. D'Hauwe, L. Nathanson, J. Burstein, G. Ciottone, G. Lord , "Dynamic Information Collection and Resource Tracking Architecture", IEEE Engineering in Medicine and Biology Society, Buenos Aires, Argentina, September, 2010.
  • S. Inampudi, A. Ganz, " RESPLA: A Decision Support Framework for Emergency Resource Planning", the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'10), Buenos Aires, Argentina, 1st -4th September, 2010.
  • X. Yu, A. Ganz, "Mass Casualty Incident Surveillance and Monitoring using Identity Aware Video Analytics", the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'10), Buenos Aires, Argentina, 1st-4th September, 2010.
  • R. Kondaveti, A. Ganz, "Decision Support System for Resource Allocation in Emergency Management", IEEE EMBS, Minneapolis, Minnesota, September, 2009.
  • D. Vermula, X. Yu, A. Ganz, "Real Time Localization of Victims at an Emergency Site: Architecture, Algorithms and Experimentation", IEEE EMBS, Minneapolis, Minnesota, September, 2009.
  • S. Natarajan, A. Ganz, "Distributed Visual analytics for Collaborative Emergency Response Management", IEEE EMBS, Minneapolis, Minnesota, September, 2009.