Kinematic Skeleton Based Control of a Virtual Simulator for Military Training

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...

Full description

Bibliographic Details
Main Authors:	Soyeon Lee, Sangjoon Park, Kyoil Chung, Choongho Cho
Format:	Article
Language:	English
Published:	MDPI AG 2015-06-01
Series:	Symmetry
Subjects:	virtual simulator military training locomotion control location recognition velocity estimation depth sensor inertial sensor
Online Access:	http://www.mdpi.com/2073-8994/7/2/1043

Similar Items

The Role of Surface Electromyography in Data Fusion with Inertial Sensors to Enhance Locomotion Recognition and Prediction
by: Lin Meng, et al.
Published: (2021-09-01)

Ski Jumping Trajectory Reconstruction Using Wearable Sensors via Extended Rauch-Tung-Striebel Smoother with State Constraints
by: Xiang Fang, et al.
Published: (2020-04-01)

Reduced-Drift Virtual Gyro from an Array of Low-Cost Gyros
by: Richard J. Vaccaro, et al.
Published: (2017-02-01)

An Ambulatory Method of Identifying Anterior Cruciate Ligament Reconstructed Gait Patterns
by: Matthew R. Patterson, et al.
Published: (2014-01-01)

Human Activity Recognition for Indoor Localization Using Smartphone Inertial Sensors
by: Dinis Moreira, et al.
Published: (2021-09-01)

Inertial and Magnetic Sensor Data Compression Considering the Estimation Error
by: Young Soo Suh
Published: (2009-07-01)

Improved Single Inertial-Sensor-Based Attitude Estimation during Walking Using Velocity-Aided Observation
by: Duc Cong Dang, et al.
Published: (2021-05-01)

The Added Value of Musculoskeletal Simulation for the Study of Physical Performance in Military Tasks
by: Ilona Kessels, et al.
Published: (2021-08-01)

Robust Human Activity Recognition Using Multimodal Feature-Level Fusion
by: Muhammad Ehatisham-Ul-Haq, et al.
Published: (2019-01-01)

Dynamic position sensing for parallel kinematic machine and new generation machine tool
by: Gao, Jian
Published: (2002)

IMU-Based Virtual Road Profile Sensor for Vehicle Localization
by: Juhui Gim, et al.
Published: (2018-10-01)

Assessing the Performance of Sensor Fusion Methods: Application to Magnetic-Inertial-Based Human Body Tracking
by: Gabriele Ligorio, et al.
Published: (2016-01-01)

Real time event-based segmentation to classify locomotion activities through a single inertial sensor
by: Benish Fida, et al.
Published: (2016-12-01)

Virtual Touch Sensor Using a Depth Camera
by: Dong-seok Lee, et al.
Published: (2019-02-01)

Implementation of a Virtual Training Simulator Based on 360° Multi-View Human Action Recognition
by: Beom Kwon, et al.
Published: (2017-01-01)

Objective evaluation versus subjective evaluation of flexion tests in the pelvic limb of horses
by: Marcos da Silva Azevedo, et al.
Published: (2019-12-01)

Can Machine Learning with IMUs Be Used to Detect Different Throws and Estimate Ball Velocity in Team Handball?
by: Roland van den Tillaar, et al.
Published: (2021-03-01)

3D Multi-Spectrum Sensor System with Face Recognition
by: Joongrock Kim, et al.
Published: (2013-09-01)

Attitude/Position Estimation of Rigid-Body using Inertial and Vision Sensors
by: Shihao Sun, et al.
Published: (2016-08-01)

Smartphone Motion Mode Recognition
by: Itzik Klein, et al.
Published: (2017-11-01)

A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors
by: Akbar Dehghani, et al.
Published: (2019-11-01)

Effects of Gait Strategy and Speed on Regularity of Locomotion Assessed in Healthy Subjects Using a Multi-Sensor Method
by: Marco Rabuffetti, et al.
Published: (2019-01-01)

Baseball Player Behavior Classification System Using Long Short-Term Memory with Multimodal Features
by: Shih-Wei Sun, et al.
Published: (2019-03-01)

Detection of the Trench Depth Based on a Differential Inertial Sensor Technology
by: Xin Wang, et al.
Published: (2018-06-01)

Real-Time Continuous Action Recognition Using Pose Contexts With Depth Sensors
by: Hejun Wu, et al.
Published: (2018-01-01)

Boosting Inertial-Based Human Activity Recognition With Transformers
by: Yoli Shavit, et al.
Published: (2021-01-01)

Fusion of Multiple Lidars and Inertial Sensors for the Real-Time Pose Tracking of Human Motion
by: Ashok Kumar Patil, et al.
Published: (2020-09-01)

Design and implementation of temporal filtering and other data fusion algorithms to enhance the accuracy of a real time radio location tracking system
by: Malik, Zohaib Mansoor
Published: (2012)

Development and validation of Comprehensive Gait Assessment using InerTial Sensor score (C-GAITS score) derived from acceleration and angular velocity data at heel and lower trunk among community-dwelling older adults
by: Shogo Misu, et al.
Published: (2019-05-01)

A Virtual Blind Cane Using a Line Laser-Based Vision System and an Inertial Measurement Unit
by: Quoc Khanh Dang, et al.
Published: (2016-01-01)

Foot Pose Estimation Using an Inertial Sensor Unit and Two Distance Sensors
by: Pham Duy Duong, et al.
Published: (2015-07-01)

Validity of Inertial Sensors for Assessing Balance Kinematics and Mobility during Treadmill-Based Perturbation and Dance Training
by: Ernest Kwesi Ofori, et al.
Published: (2021-04-01)

INERTIAL SENSORS FOR KINEMATIC MEASUREMENT AND ACTIVITY CLASSIFICATION OF GAIT POST-STROKE
by: Laudanski, ANNEMARIE
Published: (2013)

A Study on High Accuracy Stride Estimation on Smartphone Combining Acceleration Sensor and Gyro Sensor
by: Hiroki Tamura, et al.
Published: (2018-09-01)

A Robust Method to Detect Zero Velocity for Improved 3D Personal Navigation Using Inertial Sensors
by: Zhengyi Xu, et al.
Published: (2015-03-01)

Effects of Virtual Reality Locomotion Techniques on Distance Estimations
by: Julian Keil, et al.
Published: (2021-03-01)

Research on Human Body Movement Posture Based on Inertial Sensor
by: Lijuan Zhang
Published: (2018-06-01)

User Authentication by Gait Data from Smartphone Sensors Using Hybrid Deep Learning Network
by: Cao, Q., et al.
Published: (2022)

Estimating Lower Extremity Running Gait Kinematics with a Single Accelerometer: A Deep Learning Approach
by: Mohsen Gholami, et al.
Published: (2020-05-01)

Fluid Intake Monitoring System Using a Wearable Inertial Sensor for Fluid Intake Management
by: Hsiang-Yun Huang, et al.
Published: (2020-11-01)