2012
DOI: 10.1016/j.firesaf.2012.01.004
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A virtual reality based fire training simulator integrated with fire dynamics data

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Cited by 197 publications
(94 citation statements)
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“…In aspect of visualization technology, the fire event expression requires support for 3D dynamic visualization and 2D slice visualization. At present, fire event visualization research has made much progress, such as visualization based on particles (Cha, 2012). NIST also developed a visualization software Smokeview (Forney, 2004) , which can used to display the output of FDS and CFAST simulation.…”
Section: Expression Environmentmentioning
confidence: 99%
“…In aspect of visualization technology, the fire event expression requires support for 3D dynamic visualization and 2D slice visualization. At present, fire event visualization research has made much progress, such as visualization based on particles (Cha, 2012). NIST also developed a visualization software Smokeview (Forney, 2004) , which can used to display the output of FDS and CFAST simulation.…”
Section: Expression Environmentmentioning
confidence: 99%
“…However, there is no temperature control of the firefighting training clothes in this system, so participants is impressed by the effect of the visual and auditory system while receiving no temperature feedback from the virtual fire scene. Moohyun Cha's [8] team has combined the virtual firefighting training system with fire dynamics data which makes effect of the virtual system much more real whether in visual or auditory sense. But the same defect exits here is that it does not offer participants the temperature feedback as well.…”
Section: Introductionmentioning
confidence: 99%
“…In education and training, virtual reality simulators such as 54 flight [13], driving [14], fire escape [15] are used to train the user's skills and enhance learning 55 effectiveness. In the field of urban design and planning, the impact of the urban environment upon 56 pedestrian decision-making behavior [16], pre-occupancy assessment [17], and guidance layout [18] 57 also need the support of observational data about users' spatiotemporal behaviors, which could be 58 easily acquired in the virtual environment.…”
mentioning
confidence: 99%
“…With trajectories, researchers can identify and analyze pedestrian 62 behavioral patterns and the characteristics of spatial-temporal motion [15,16] [21,22]. The second has 63 been to use a classic social force model [23,24] and field model [25,26] to model, simulate and analyze 64 pedestrian behavior in specific situations [27,28].…”
mentioning
confidence: 99%
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