The article addresses the issue of enhancing the efficiency and safety of training for law enforcement personnel through extended reality (XR) technologies. The relevance of the topic is driven by the high injury rates associated with traditional combat training methods, substantial ammunition costs, and limited resources. Against the backdrop of the rapid growth in the XR-device market and advancements in virtual simulation technologies, the concept of a immersive XR training system is proposed. This system comprises an immersive rifle-shaped controller with recoil simulation and steam generation, a haptic feedback vest, and a data transmission system using JSON format between modules via HTTP protocol. The paper presents operational algorithms for system modules, structural diagrams, and scaling possibilities through WebSocket and multi-user modes. The study substantiates the scientific novelty, practical applicability, and competitive advantages of the developed prototype compared to foreign analogs. Emphasis is placed on the system’s adaptability to training scenarios specific to law enforcement agencies, including combat telemetry analysis and the integration of artificial intelligence within the training environment.

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Immersive XR System for Law-Enforcement Personnel Training

  • Alla G. Kravets,
  • P. D. Korobkin

摘要

The article addresses the issue of enhancing the efficiency and safety of training for law enforcement personnel through extended reality (XR) technologies. The relevance of the topic is driven by the high injury rates associated with traditional combat training methods, substantial ammunition costs, and limited resources. Against the backdrop of the rapid growth in the XR-device market and advancements in virtual simulation technologies, the concept of a immersive XR training system is proposed. This system comprises an immersive rifle-shaped controller with recoil simulation and steam generation, a haptic feedback vest, and a data transmission system using JSON format between modules via HTTP protocol. The paper presents operational algorithms for system modules, structural diagrams, and scaling possibilities through WebSocket and multi-user modes. The study substantiates the scientific novelty, practical applicability, and competitive advantages of the developed prototype compared to foreign analogs. Emphasis is placed on the system’s adaptability to training scenarios specific to law enforcement agencies, including combat telemetry analysis and the integration of artificial intelligence within the training environment.