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A Virtual Reality Soldier Simulator with Body Area Networks for Team Training

Soldier-based simulators have been attracting increased attention recently, with the aim of making complex military tactics more effective, such that soldiers are able to respond rapidly and logically to battlespace situations and the commander’s decisions in the battlefield. Moreover, body area net...

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Detalles Bibliográficos
Autores principales: Fan, Yun-Chieh, Wen, Chih-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387138/
https://www.ncbi.nlm.nih.gov/pubmed/30678276
http://dx.doi.org/10.3390/s19030451
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author Fan, Yun-Chieh
Wen, Chih-Yu
author_facet Fan, Yun-Chieh
Wen, Chih-Yu
author_sort Fan, Yun-Chieh
collection PubMed
description Soldier-based simulators have been attracting increased attention recently, with the aim of making complex military tactics more effective, such that soldiers are able to respond rapidly and logically to battlespace situations and the commander’s decisions in the battlefield. Moreover, body area networks (BANs) can be applied to collect the training data in order to provide greater access to soldiers’ physical actions or postures as they occur in real routine training. Therefore, due to the limited physical space of training facilities, an efficient soldier-based training strategy is proposed that integrates a virtual reality (VR) simulation system with a BAN, which can capture body movements such as walking, running, shooting, and crouching in a virtual environment. The performance evaluation shows that the proposed VR simulation system is able to provide complete and substantial information throughout the training process, including detection, estimation, and monitoring capabilities.
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spelling pubmed-63871382019-02-26 A Virtual Reality Soldier Simulator with Body Area Networks for Team Training Fan, Yun-Chieh Wen, Chih-Yu Sensors (Basel) Article Soldier-based simulators have been attracting increased attention recently, with the aim of making complex military tactics more effective, such that soldiers are able to respond rapidly and logically to battlespace situations and the commander’s decisions in the battlefield. Moreover, body area networks (BANs) can be applied to collect the training data in order to provide greater access to soldiers’ physical actions or postures as they occur in real routine training. Therefore, due to the limited physical space of training facilities, an efficient soldier-based training strategy is proposed that integrates a virtual reality (VR) simulation system with a BAN, which can capture body movements such as walking, running, shooting, and crouching in a virtual environment. The performance evaluation shows that the proposed VR simulation system is able to provide complete and substantial information throughout the training process, including detection, estimation, and monitoring capabilities. MDPI 2019-01-22 /pmc/articles/PMC6387138/ /pubmed/30678276 http://dx.doi.org/10.3390/s19030451 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fan, Yun-Chieh
Wen, Chih-Yu
A Virtual Reality Soldier Simulator with Body Area Networks for Team Training
title A Virtual Reality Soldier Simulator with Body Area Networks for Team Training
title_full A Virtual Reality Soldier Simulator with Body Area Networks for Team Training
title_fullStr A Virtual Reality Soldier Simulator with Body Area Networks for Team Training
title_full_unstemmed A Virtual Reality Soldier Simulator with Body Area Networks for Team Training
title_short A Virtual Reality Soldier Simulator with Body Area Networks for Team Training
title_sort virtual reality soldier simulator with body area networks for team training
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387138/
https://www.ncbi.nlm.nih.gov/pubmed/30678276
http://dx.doi.org/10.3390/s19030451
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