scholarly journals A real time motion capture system, using USB based tri-axis magnetic and inertial sensors, for movement based relaxation

2006 ◽  
Author(s):  
J. Foody ◽  
D. Kelly ◽  
D. Kumar ◽  
D. Fitzgerald ◽  
B. Caulfield ◽  
...  
Keyword(s):  
Real Time ◽  
Motion Capture ◽  
Inertial Sensors ◽  
Motion Capture System ◽  
Time Motion

Natural human–computer interaction control of multi operators in collaborative virtual maintenance based on optical human motion capture system

2016 ◽  
Vol 07 (02) ◽  
pp. 1650002
Author(s):  
Xiangyang Li ◽  
Zhili Zhang ◽  
Feng Liang ◽  
Qinhe Gao ◽  
Lilong Tan
Keyword(s):  
Human Computer Interaction ◽  
Real Time ◽  
Motion Capture ◽  
Human Motion ◽  
Motion Capture System ◽  
Human Motion Capture ◽  
Interaction Control ◽  
Time Motion ◽  
Virtual Maintenance ◽  
Computer Interaction

Aiming at the human–computer interaction control (HCIC) requirements of multi operators in collaborative virtual maintenance (CVM), real-time motion capture and simulation drive of multi operators with optical human motion capture system (HMCS) is proposed. The detailed realization process of real-time motion capture and data drive for virtual operators in CVM environment is presented to actualize the natural and online interactive operations. In order to ensure the cooperative and orderly interactions of virtual operators with the input operations of actual operators, collaborative HCIC model is established according to specific planning, allocating and decision-making of different maintenance tasks as well as the human–computer interaction features and collaborative maintenance operation features among multi maintenance trainees in CVM process. Finally, results of the experimental implementation validate the effectiveness and practicability of proposed methods, models, strategies and mechanisms.

scholarly journals Samba: A Real-Time Motion Capture System Using Wireless Camera Sensor Networks

Sensors ◽  
2014 ◽  
Vol 14 (3) ◽  
pp. 5516-5535 ◽  
Author(s):  
Hyeongseok Oh ◽  
Geonho Cha ◽  
Songhwai Oh
Keyword(s):  
Sensor Networks ◽  
Real Time ◽  
Motion Capture ◽  
Motion Capture System ◽  
Time Motion ◽  
Wireless Camera Sensor Networks ◽  
Camera Sensor

scholarly journals Research on Multiperson Motion Capture System Combining Target Positioning and Inertial Attitude Sensing Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Yifei Wang ◽  
Yongsheng Wang
Keyword(s):  
Real Time ◽  
Motion Capture ◽  
Inertial Sensors ◽  
Recognition Rate ◽  
Human Motion ◽  
Motion Capture System ◽  
Fusion Algorithm ◽  
Raw Data ◽  
Sensing Technology ◽  
Fusion Target

The purpose of this study is to solve the problems of multiple targets, poor accuracy, and inability to obtain displacement information in motion capture. Based on fusion target positioning and inertial attitude sensing technology, Unity3D is employed to create 3D scenes and 3D human body models to read real-time raw data from inertial sensors. Furthermore, a gesture fusion algorithm is used to process the raw data in real time to generate a quaternion, and a human motion capture system is designed based on inertial sensors for the complete movement information recording of the capture target. Results demonstrate that the developed system can accurately capture multiple moving targets and provide a higher recognition rate, reaching 75%∼100%. The maximum error of the system adopting the fusion target positioning algorithm is 10 cm, a reduction of 71.24% compared with that not using the fusion algorithm. The movements of different body parts are analyzed through example data. The recognition efficiency of “wave,” “crossover,” “pick things up,” “walk,” and “squat down” is as high as 100%. Hence, the proposed multiperson motion capture system that combines target positioning and inertial attitude sensing technology can provide better performance. The results are of great significance to promote the development of industries such as animation, medical care, games, and sports training.

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