Applying depth-of-field effects to power substation simulation system using virtual reality technique

Author(s):  
Koichi Arai ◽  
Shigenobu Furuta ◽  
Arata Watanabe ◽  
Noboru Kamizi
1995 ◽  
Vol 115 (2) ◽  
pp. 196-202
Author(s):  
Yuichi Mizukami ◽  
Shigeru Morita ◽  
Kunihiro Asano ◽  
Noboru Kamiji

2015 ◽  
Vol 26 (s1) ◽  
pp. S747-S756 ◽  
Author(s):  
Dangxiao Wang ◽  
Siming Zhao ◽  
Teng Li ◽  
Yuru Zhang ◽  
Xiaoyan Wang

2020 ◽  
pp. 103-107
Author(s):  
Johannes Moersch ◽  
Howard J. Hamilton
Keyword(s):  

2021 ◽  
pp. 67-84
Author(s):  
Jingyu Liu ◽  
Claire Mantel ◽  
Florian Schweiger ◽  
Søren Forchhammer

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 451 ◽  
Author(s):  
Yun-Chieh Fan ◽  
Chih-Yu Wen

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.


Sign in / Sign up

Export Citation Format

Share Document