Selected article for: "interaction detection and large scale"

Author: Cui, Xue-yong; Diao, Jun-qin
Title: Design of Human-Computer Interactive Fire Extinguishing Training System Based on Virtual Reality Technology
  • Cord-id: ss56fbfv
  • Document date: 2020_6_13
  • ID: ss56fbfv
    Snippet: In order to improve the ability of human-computer interactive fire extinguishing training, a visual simulation model of man-machine interactive fire extinguishing training based on virtual reality technology is proposed. Taking the large-scale emergency scene fire drill as the research object, the virtual scene image reconstruction model of human-computer interaction fire fighting training is constructed, the boundary feature detection and particle tracking filter processing are carried out for
    Document: In order to improve the ability of human-computer interactive fire extinguishing training, a visual simulation model of man-machine interactive fire extinguishing training based on virtual reality technology is proposed. Taking the large-scale emergency scene fire drill as the research object, the virtual scene image reconstruction model of human-computer interaction fire fighting training is constructed, the boundary feature detection and particle tracking filter processing are carried out for the scene image of human-computer interaction fire fighting training, the dynamic structure of the scene image of human-computer interaction fire fighting training is reorganized with fuzzy edge feature extraction method, and the virtual reality simulation model of human-computer interactive fire fighting training scene image is established. The multi-person cooperative control method is used to simulate the virtual reality in the process of human-computer interactive fire fighting training, and the 3D simulation image of virtual scene fire drill in large-scale emergency scene is followed and rendered, and the optimization design of virtual reality VR simulation model of human-computer interactive fire fighting training is realized. The test results show that the virtual scene simulation of human-computer interaction fire fighting training using this method has good cooperation, high image fusion performance and strong reconstruction ability of fire fighting training scene simulation.

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