Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
You, X., Zhang, W., Ma, M., Deng, C., Yang, J.: Survey on urban warfare augmented reality. ISPRS Int. J. Geo-Inf. 7, (2018). https://doi.org/10.3390/ijgi7020046
Soltani, P., Morice, A.H.P.: Augmented reality tools for sports education and training. Comput. Educ. 155, 103923 (2020). https://doi.org/10.1016/j.compedu.2020.103923
Kasapakis, V., Gavalas, D.: Occlusion handling in outdoors augmented reality games. Multimedia Tools Appl. 76(7), 9829–9854 (2016). https://doi.org/10.1007/s11042-016-3581-1
Gattullo, M., Scurati, G.W., Fiorentino, M., Uva, A.E., Ferrise, F., Bordegoni, M.: Towards augmented reality manuals for industry 4.0: a methodology. Robot. Comput. Integr. Manuf. (2019). https://doi.org/10.1016/j.rcim.2018.10.001
Tsai, S.: pei: Augmented reality enhancing place satisfaction for heritage tourism marketing. Curr. Issues Tour. 23, 1078–1083 (2020). https://doi.org/10.1080/13683500.2019.1598950
Andersen, D., et al.: An augmented reality-based approach for surgical telementoring in austere environments. Mil. Med. (2017). https://doi.org/10.7205/milmed-d-16-00051
Boyce, M.W., et al.: The impact of surface projection on military tactics comprehension. Mil. Psychol. (2019). https://doi.org/10.1080/08995605.2018.1529487
Guven, S., Durukan, A.H.: Empty bullet-related ocular injuries during military shooting training: a 20-year review. Mil. Med. 185, E799–E803 (2020). https://doi.org/10.1093/milmed/usz400
Kos, A., Umek, A., Marković, S., Dopsaj, M.: Sensor system for precision shooting evaluation and real-time biofeedback. Procedia Comput. Sci. 319–323 (2019). Elsevier B.V.. https://doi.org/10.1016/j.procs.2019.01.228
Ahir, K., Govani, K., Gajera, R., Shah, M.: Application on virtual reality for enhanced education learning, military training and sports. Aug. Hum. Res. 5(1), 1–9 (2019). https://doi.org/10.1007/s41133-019-0025-2
Zhang, M., Li, X., Yu, Z., Chen, Z., Sun, Y., Li, Y.: Virtual range training based on virtual reality, 23 July 2019. https://doi.org/10.2991/iccessh-19.2019.339
Muñoz, J.E., Quintero, L., Stephens, C.L., Pope, A.T.: A psychophysiological model of firearms training in police officers: a virtual reality experiment for biocybernetic adaptation. Front. Psychol. (2020). https://doi.org/10.3389/fpsyg.2020.00683
Wei, L., Zhou, H., Nahavandi, S.: Haptically enabled simulation system for firearm shooting training. Virtual Real. 23(3), 217–228 (2018). https://doi.org/10.1007/s10055-018-0349-0
Berna-Moya, J.L., Martinez-Plasencia, D.: Exploring the effects of replicating shape, weight and recoil effects on VR shooting controllers. In: Lamas, D., Loizides, F., Nacke, L., Petrie, H., Winckler, M., Zaphiris, P. (eds.) INTERACT 2019. LNCS, vol. 11746, pp. 763–782. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-29381-9_45
Amaguaña, F., Collaguazo, B., Tituaña, J., Aguilar, W.G.: Simulation system based on augmented reality for optimization of training tactics on military operations. In: De Paolis, L.T., Bourdot, P. (eds.) AVR 2018. LNCS, vol. 10850, pp. 394–403. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-95270-3_33
Armstrong, S., Morrand, K.: Ghost hunter – an augmented reality ghost busting game. In: Lackey, S., Shumaker, R. (eds.) VAMR 2016. LNCS, vol. 9740, pp. 671–678. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39907-2_64
Misra, S.: A step by step guide for choosing project topics and writing research papers in ICT related disciplines. In: Misra, S., Muhammad-Bello, B. (eds.) ICTA 2020. CCIS, vol. 1350, pp. 727–744. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-69143-1_55
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Lucero-Urresta, E., Buele, J., Córdova, P., Varela-Aldás, J. (2021). Precision Shooting Training System Using Augmented Reality. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12957. Springer, Cham. https://doi.org/10.1007/978-3-030-87013-3_22
Download citation
DOI: https://doi.org/10.1007/978-3-030-87013-3_22
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-87012-6
Online ISBN: 978-3-030-87013-3
eBook Packages: Computer ScienceComputer Science (R0)