Design and research of red-blue confrontation training system based on virtual reality

被引：0
作者：
Yong, Song [1 ]
Yin, Haili [2 ]
机构：
[1] Nanjing Police University, Nanjing
[2] Nanjing Institute of Physical Education and Sports, Nanjing
来源：
International Journal of Information and Communication Technology | 2024年 / 25卷 / 05期
关键词：
military; red-blue confrontation; training; virtual reality;
D O I：
10.1504/IJICT.2024.140324
中图分类号：
学科分类号：
摘要：
In order to show the scene of military confrontation more truly and enhance the immersion of soldiers in confrontation, the behaviour generation of virtual soldiers is added. In order to solve the problem of red-blue confrontation system, this paper constructs a red-blue confrontation training system combined with virtual reality technology, simulates virtual soldiers with motion editing and motion redirection technology, uses motion redirection algorithm based on forward kinematics for kinematics simulation calculation, uses frame-by-frame solution method to process motion number, and uses surface model as collision detection model. Through simulation example images, it can be seen that the virtual reality technology proposed in this paper can realise interactive simulation of red-blue confrontation. At the same time, from the victory rate test of both sides of red-blue confrontation, it can be seen that the theoretical victory rate and the test victory rate are very close, so the red-blue confrontation training system based on virtual reality has obvious effect and can effectively improve the simulation effect of subsequent red-blue confrontation. Copyright © The Author(s) 2024.
引用
收藏
页码：1 / 17
页数：16
相关论文
共 24 条
  • [1] Abdolhosseinzadeh A., Akhlaghi T., Katebi H., Effect of a row of soldier piles on the settlement of adjacent buildings due to tunnelling: numerical study, International Journal of Geotechnical Engineering, 16, 5, pp. 616-631, (2022)
  • [2] Binsch O., Bottenheft C., Landman A., Roijendijk L., Vermetten E.H., Testing the applicability of a virtual reality simulation platform for stress training of first responders, Military Psychology, 33, 3, pp. 182-196, (2021)
  • [3] Blacker K.J., Pettijohn K.A., Roush G., Biggs A.T., Measuring lethal force performance in the lab: the effects of simulator realism and participant experience, Human Factors, 63, 7, pp. 1141-1155, (2021)
  • [4] Celenk E., Tokan N.T., All-textile on-body antenna for military applications, IEEE Antennas and Wireless Propagation Letters, 21, 5, pp. 1065-1069, (2022)
  • [5] Deng P.Y., Qiu X.Y., Tang Z., Zhang W.M., Zhu L.M., Ren H., Sheng R.S., Detecting fatigue status of pilots based on deep learning network using EEG signals, IEEE Transactions on Cognitive and Developmental Systems, 13, 3, pp. 575-585, (2020)
  • [6] Dorn A.W., Dawson P.F., Simulating peace operations: new digital possibilities for training and public education, Simulation & Gaming, 52, 2, pp. 226-242, (2021)
  • [7] Dorn A.W., Webb S., Paquet S., From wargaming to peacegaming: digital simulations with peacekeeper roles needed, International Peacekee**, 27, 2, pp. 289-310, (2020)
  • [8] Etewa M., Safwat E., Abozied M.A.H., El-Khatib M.M., Modeling and systematic investigation of a small-scale propeller selection, Journal of Engineering Science and Military Technologies, 7, 1, pp. 15-21, (2023)
  • [9] Gaikwad N.B., Ugale H., Keskar A., Shivaprakash N.C., The internet-of-battlefield-things (IoBT)-based enemy localization using soldiers location and gunshot direction, IEEE Internet of Things Journal, 7, 12, pp. 11725-11734, (2020)
  • [10] Goecks V.G., Waytowich N., Asher D.E., Jun Park S., Mittrick M., Richardson J., Kott A., On games and simulators as a platform for development of artificial intelligence for command and control, The Journal of Defense Modeling and Simulation, 20, 4, pp. 495-508, (2023)
123