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A team-based firefighter training platform using the virtual environment

Authors:

Jaikyung Lee,

Moohyun Cha,

Byungil Choi,

Taesung KimAuthors Info & Claims

VRCAI '10: Proceedings of the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry

Pages 299 - 302

https://doi.org/10.1145/1900179.1900242

Published: 12 December 2010 Publication History

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Abstract

The increasing complexity of modern buildings, such as high-rise buildings and underground subway stations, has brought about an increase in the scale of potential hazards, which in turn requires changes in firefighter training. Due to cost, time, and safety requirements for the trainee, it is impossible for firefighters in training to experience a real fire. In additional, repeated training is impossible if real fire were used. We proposed a team-based firefighter training platform using the virtual environment for complex buildings. The platform provides training and evaluation of firefighting and mission-based team training. To achieve an immersive virtual environment, VR, AR and haptics technique is adopted. A numerical analysis method is used to model real fire phenomena.

References

[1]

Cha, M., Lee, J., Choi, B., Lee, H. and Han, S. 2009, A data-driven visual simulation of fire phenomena, SIGGRAPH '09 Posters, 74.

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[2]

Dugdale, J., Pavard B., Pallamin, N. and Jed M. 2004, Emergency fire incident training in a virtual world, Proceedings of the 1st Conference on Information Systems for Crisis Response and Management, pp. 167--172.

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[3]

Ericson, E. R. 2007, Development of an immersive game-based virtual reality training program to teach fire safety skills to children, Master's thesis of Iowa State University, pp. 1--73.

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[4]

Forney, G. P. 2007, Visualization, A Tool For Understanding Fire Dynamics, NISTIR 7431 NIST, pp. 1--13.

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[5]

Julien, T. U. and Shaw, C. D. 2003, Firefighter command training virtual environment, Proceedings of the 2003 Conference on Diversity in Computing, pp. 30--33.

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Cortes CThurow SOng ASharples JBednarz TStevens GFavero D(2024)Analysis of Wildfire Visualization Systems for Research and Training: Are They Up for the Challenge of the Current State of Wildfires?IEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.325844030:7(4285-4303)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3258440
OHYAMA J(2022)Development of Multimodal VR Welding Training System applying Cognitive Cybernetics認知サイバネティクスによるマルチモーダルVR溶接訓練システムの開発JOURNAL OF THE JAPAN WELDING SOCIETY10.2207/jjws.91.25591:4(255-259)Online publication date: 2022
https://doi.org/10.2207/jjws.91.255
Doroudian SWu ZWang WGalati ALu A(2022)A Study of Real-time Information on User Behaviors during Search and Rescue (SAR) Training of Firefighters2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW55335.2022.00085(387-394)Online publication date: Mar-2022
https://doi.org/10.1109/VRW55335.2022.00085
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Information

Published In

VRCAI '10: Proceedings of the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry

December 2010

399 pages

ISBN:9781450304597

DOI:10.1145/1900179

General Chairs:
Hyun Seung Yang
KAIST, Korea
,
Kazumasa Enami
National Institute of Information and Communications Technology, Japan
,
Nadia Magnenat-Thalmann
MIRALab, University of Geneva, Switzerland
,
Jim Chen
George Mason University
,
Program Chairs:
Seiki Inoue
NHK Science and Technical Research Labs, Japan
,
Zhigeng Pan
State Key Lab of CAD&CG, Zhejiang University, China
,
Jong -IL Park
Hanyang University, Korea

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 December 2010

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Short-paper

Funding Sources

Business for Cooperative R&D between Industry, Academy, and Research Institute funded Korea Small and Medium Business Administration in 2010

Conference

VRCAI '10

Sponsor:

SIGGRAPH

VRCAI '10: Virtual Reality Continuum and its Applications in Industry

December 12 - 13, 2010

Seoul, South Korea

Acceptance Rates

Overall Acceptance Rate 51 of 107 submissions, 48%

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Cited By

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Cortes CThurow SOng ASharples JBednarz TStevens GFavero D(2024)Analysis of Wildfire Visualization Systems for Research and Training: Are They Up for the Challenge of the Current State of Wildfires?IEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.325844030:7(4285-4303)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3258440
OHYAMA J(2022)Development of Multimodal VR Welding Training System applying Cognitive Cybernetics認知サイバネティクスによるマルチモーダルVR溶接訓練システムの開発JOURNAL OF THE JAPAN WELDING SOCIETY10.2207/jjws.91.25591:4(255-259)Online publication date: 2022
https://doi.org/10.2207/jjws.91.255
Doroudian SWu ZWang WGalati ALu A(2022)A Study of Real-time Information on User Behaviors during Search and Rescue (SAR) Training of Firefighters2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW55335.2022.00085(387-394)Online publication date: Mar-2022
https://doi.org/10.1109/VRW55335.2022.00085
Srivastava A(2022)A Systematic Literature Review on Virtual Reality-Based Fire-Safety Training in IndiaProductivity with Health, Safety, and Environment10.1007/978-981-16-7361-0_3(17-24)Online publication date: 14-May-2022
https://doi.org/10.1007/978-981-16-7361-0_3
Liu YLan ZTschoerner BVirdi SLi FCui JSourina OZhang DMuller-Wittig W(2021)VR-based Training on Handling LNG Related Emergency in the Maritime Industry2021 International Conference on Cyberworlds (CW)10.1109/CW52790.2021.00035(159-165)Online publication date: Sep-2021
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Reinhardt JWolf KZhou BCheng JStrohmeier PIshimaru SKosch T(2020)Go-ThroughProceedings of the Augmented Humans International Conference10.1145/3384657.3384784(1-10)Online publication date: 16-Mar-2020
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Liu YLan ZTschoerner BVirdi SCui JLi FSourina OZhang DChai DMuller-Wittig W(2020)Human Factors Assessment in VR-based Firefighting Training in Maritime: A Pilot Study2020 International Conference on Cyberworlds (CW)10.1109/CW49994.2020.00034(157-163)Online publication date: Sep-2020
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Engelbrecht HLindeman RHoermann S(2019)A SWOT Analysis of the Field of Virtual Reality for Firefighter TrainingFrontiers in Robotics and AI10.3389/frobt.2019.001016Online publication date: 16-Oct-2019
https://doi.org/10.3389/frobt.2019.00101
Neustaedter CMcGee JDash PHarrison SBardzell SNeustaedter CTatar D(2019)Sharing 9-1-1 Video Call Information between Dispatchers and Firefighters During Everyday EmergenciesProceedings of the 2019 on Designing Interactive Systems Conference10.1145/3322276.3322277(567-580)Online publication date: 18-Jun-2019
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Zou HLi NCao L(2017)Emotional Response–Based Approach for Assessing the Sense of Presence of Subjects in Virtual Building Evacuation StudiesJournal of Computing in Civil Engineering10.1061/(ASCE)CP.1943-5487.000067931:5Online publication date: Sep-2017
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