Augmented Reality based Mass Casualty Incident Training System

被引:0
|
作者
Dong, Hao [1 ]
Schafer, James [1 ]
Ganz, Aura [1 ]
机构
[1] Univ Massachusetts, Dept Elect & Comp Engn, Amherst, MA 01003 USA
关键词
Augmented Reality; MCI Training;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper we introduce the first augmented reality based training system for Mass Casualty Incidents (MCI). Our system enables the trainees to train in the physical environment while the disaster related objects and events such as victims, fire, tornadoes are digitally overlaid in the Smartphone camera view using Augmented Reality (AR). Using this system the trainees can experience the real physical environment while saving the cost of setting up disaster related objects and events. We view that this AR based training will not replace MCI live training in real physical environments with physical disaster related objects and events but will facilitate more frequent training sessions at lower cost. Moreover, this system is more affordable than virtual reality based environments due to the high cost of designing virtual environments. In addition, this system provides the trainees a more realistic experience than virtual reality based training since the trainees train in the physical environment.
引用
收藏
页数:4
相关论文
共 50 条
  • [31] A novel teaching and training system for industrial applications based on augmented reality
    Young, Kuu-Young
    Cheng, Shu-Ling
    Ko, Chun-Hsu
    Su, Yu-Hsuan
    Liu, Qiao-Fei
    JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS, 2020, 43 (08) : 796 - 806
  • [32] AN AUGMENTED REALITY-BASED TRAINING SYSTEM FOR MANUAL MILLING OPERATIONS
    Chuang, Tung-Jui
    Yang, Chih-Kai
    Smith, Shana
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2019, VOL 1, 2020,
  • [33] A support system for maintenance training by augmented reality
    Nakajima, C
    Itho, N
    12TH INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING, PROCEEDINGS, 2003, : 158 - 163
  • [34] An augmented reality home-training system based on the mirror training and imagery approach
    Jörg Trojan
    Martin Diers
    Xaver Fuchs
    Felix Bach
    Robin Bekrater-Bodmann
    Jens Foell
    Sandra Kamping
    Mariela Rance
    Heiko Maaß
    Herta Flor
    Behavior Research Methods, 2014, 46 : 634 - 640
  • [35] An augmented reality home-training system based on the mirror training and imagery approach
    Trojan, Joerg
    Diers, Martin
    Fuchs, Xaver
    Bach, Felix
    Bekrater-Bodmann, Robin
    Foell, Jens
    Kamping, Sandra
    Rance, Mariela
    Maass, Heiko
    Flor, Herta
    BEHAVIOR RESEARCH METHODS, 2014, 46 (03) : 634 - 640
  • [36] A Medical Training System Using Augmented Reality
    Umeda, Ryosuke
    Seif, Mohamed Atef
    Higa, Hiroki
    Kuniyoshi, Yukio
    2017 2ND INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATICS AND BIOMEDICAL SCIENCES (ICIIBMS), 2017, : 146 - 149
  • [37] An augmented reality system for technical staff training
    Piciarelli, Claudio
    Vernier, Marco
    Zanier, Mattia
    Foresti, Gian Luca
    2018 IEEE 16TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2018, : 899 - 904
  • [38] Respect for the Mass Casualty Incident in Aurora
    Steen, Angela
    JOURNAL OF EMERGENCY NURSING, 2015, 41 (02) : 102 - 102
  • [39] Regional Health System Response to the Virginia Tech Mass Casualty Incident
    Kaplowitz, Lisa
    Reece, Morris
    Hershey, Jody Henry
    Gilbert, Carol M.
    Subbarao, Italo
    DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS, 2007, 1 : S9 - S13
  • [40] Simulation training for a mass casualty incident: Two-year experience at the army trauma training center
    King, David R.
    Patel, Mayur B.
    Feinstein, Ara J.
    Earle, Steven A.
    Topp, Raymond F.
    Proctor, Kenneth. G.
    JOURNAL OF TRAUMA-INJURY INFECTION AND CRITICAL CARE, 2006, 61 (04): : 943 - 948