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    Título : Precision Shooting Training System Using Augmented Reality
    Autor : Lucero-Urresta, Estefani
    Buele, Jorge
    Córdova, Patricio
    Varela-Aldás, José
    Fecha de publicación : 2021
    Editorial : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Volume 12957 LNCS, Pages 283 – 298. 21st International Conference on Computational Science and Its Applications, ICCSA 2021. Virtual, Online. 13 September 2021 through 16 September 2021
    Resumen : Precision shooting training is conventionally done at outdoor shooting ranges. There are also virtual training grounds that use weapons and scenarios that do not provide a completely real experience. When the practitioner begins training, the waste of ammunition represents an economic inconvenience both for him and for the training center. For this reason, this research analyzes the factors and tactical strategies involved in precision shooting practices, developing a virtual augmented reality system that implements three-dimensional objects that facilitate training with short-range weapons. The panorama of vision in the sights of the weapons is expanded, to have a better alignment between the three key points that intervene in the shots. Thus, the training method is modernized, but the reactions caused by the recoil force generated by a shot are preserved, without affecting the practitioner’s cognitive process. When acting within a combat environment, it is necessary to recreate a situational awareness that allows generating a perception, understanding, and anticipation of all the elements of the environment. Experimental tests show a 116.67% increase in effectiveness when compared to the traditional method. Thus, there is a reduction in the consumption of resources, making it a sustainable proposal.
    URI : https://link.springer.com/chapter/10.1007%2F978-3-030-87013-3_22
    http://repositorio.uti.edu.ec//handle/123456789/3223
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