Kinematic Skeleton Based Control of a Virtual Simulator for Military Training
Virtual simulation technology has been considered as a highly efficient and cost-effective solution for a soldier training system, and evolved into diverse combinations of hardware and software. To maximize the virtual reality effect within a restricted space, a locomotion interface such as an omni...
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doaj-68d62aba6d3a499f810b4865b68ebeaa2020-11-24T23:54:19ZengMDPI AGSymmetry2073-89942015-06-01721043106010.3390/sym7021043sym7021043Kinematic Skeleton Based Control of a Virtual Simulator for Military TrainingSoyeon Lee0Sangjoon Park1Kyoil Chung2Choongho Cho3Electronics and Telecommunications Research Institute, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, KoreaElectronics and Telecommunications Research Institute, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, KoreaElectronics and Telecommunications Research Institute, 218 Gajeong-ro, Yuseong-gu, Daejeon 305-700, KoreaDepartment of Computer and Information Science, Korea University, 2511 Sejong-ro, Sejong City 339-770, KoreaVirtual simulation technology has been considered as a highly efficient and cost-effective solution for a soldier training system, and evolved into diverse combinations of hardware and software. To maximize the virtual reality effect within a restricted space, a locomotion interface such as an omni-directional treadmill is introduced as a major component of a virtual simulator, therefore real time interaction between human and the virtual simulator becomes very important. Displacement and heading changes of the trainee are crucial information to control the virtual simulator when we implement highly reactive motion control for the omni-directional treadmill and interaction control of the virtual contents. This paper proposes a control parameter estimation algorithm for the virtual training simulator by using two types of motion capture sensors and presents the experimental results. Kinematic joint positions are analyzed to estimate the trainee’s location and velocity for feedback and feedforward control of the omni-directional treadmill. The accuracy of two approaches is evaluated by comparing with the reference system, which gives a ground truth value.http://www.mdpi.com/2073-8994/7/2/1043virtual simulatormilitary traininglocomotion controllocation recognitionvelocity estimationdepth sensorinertial sensor |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Soyeon Lee Sangjoon Park Kyoil Chung Choongho Cho |
spellingShingle |
Soyeon Lee Sangjoon Park Kyoil Chung Choongho Cho Kinematic Skeleton Based Control of a Virtual Simulator for Military Training Symmetry virtual simulator military training locomotion control location recognition velocity estimation depth sensor inertial sensor |
author_facet |
Soyeon Lee Sangjoon Park Kyoil Chung Choongho Cho |
author_sort |
Soyeon Lee |
title |
Kinematic Skeleton Based Control of a Virtual Simulator for Military Training |
title_short |
Kinematic Skeleton Based Control of a Virtual Simulator for Military Training |
title_full |
Kinematic Skeleton Based Control of a Virtual Simulator for Military Training |
title_fullStr |
Kinematic Skeleton Based Control of a Virtual Simulator for Military Training |
title_full_unstemmed |
Kinematic Skeleton Based Control of a Virtual Simulator for Military Training |
title_sort |
kinematic skeleton based control of a virtual simulator for military training |
publisher |
MDPI AG |
series |
Symmetry |
issn |
2073-8994 |
publishDate |
2015-06-01 |
description |
Virtual simulation technology has been considered as a highly efficient and cost-effective solution for a soldier training system, and evolved into diverse combinations of hardware and software. To maximize the virtual reality effect within a restricted space, a locomotion interface such as an omni-directional treadmill is introduced as a major component of a virtual simulator, therefore real time interaction between human and the virtual simulator becomes very important. Displacement and heading changes of the trainee are crucial information to control the virtual simulator when we implement highly reactive motion control for the omni-directional treadmill and interaction control of the virtual contents. This paper proposes a control parameter estimation algorithm for the virtual training simulator by using two types of motion capture sensors and presents the experimental results. Kinematic joint positions are analyzed to estimate the trainee’s location and velocity for feedback and feedforward control of the omni-directional treadmill. The accuracy of two approaches is evaluated by comparing with the reference system, which gives a ground truth value. |
topic |
virtual simulator military training locomotion control location recognition velocity estimation depth sensor inertial sensor |
url |
http://www.mdpi.com/2073-8994/7/2/1043 |
work_keys_str_mv |
AT soyeonlee kinematicskeletonbasedcontrolofavirtualsimulatorformilitarytraining AT sangjoonpark kinematicskeletonbasedcontrolofavirtualsimulatorformilitarytraining AT kyoilchung kinematicskeletonbasedcontrolofavirtualsimulatorformilitarytraining AT choonghocho kinematicskeletonbasedcontrolofavirtualsimulatorformilitarytraining |
_version_ |
1725466290324242432 |