Implementation of an Omnidirectional Human Motion Capture System Using Multiple Kinect Sensors

2015 ◽  
Vol E98.A (9) ◽  
pp. 2004-2008 ◽  
Author(s):  
Junghwan KIM ◽  
Inwoong LEE ◽  
Jongyoo KIM ◽  
Sanghoon LEE
Keyword(s):  
Motion Capture ◽  
Human Motion ◽  
Motion Capture System ◽  
Human Motion Capture

Networked Human Motion Capture System Based on Quaternion Navigation

2017 ◽  
Author(s):  
jie li ◽  
Zhe-long Wang ◽  
Hongyu Zhao ◽  
Raffael Gravina ◽  
Giancarlo Fortino ◽  
...  
Keyword(s):  
Motion Capture ◽  
Human Motion ◽  
Motion Capture System ◽  
Human Motion Capture

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.

Extraction and trace of body joints in human motion capture system

2007 ◽  
Author(s):  
Tao Wang ◽  
Guanghong Gong ◽  
Liang Han ◽  
Fan Yang
Keyword(s):  
Motion Capture ◽  
Human Motion ◽  
Motion Capture System ◽  
Human Motion Capture ◽  
Body Joints

Data compensation based on the additional feature information for collaborative interactive operation with optical human motion capture system

2018 ◽  
Vol 09 (06) ◽  
pp. 1850060
Author(s):  
Xiangyang Li ◽  
Rui Wang ◽  
Zhe Xu ◽  
Lei Pan ◽  
Zhili Zhang
Keyword(s):  
Motion Capture ◽  
Human Motion ◽  
Practical Implementation ◽  
Body Parts ◽  
Motion Capture System ◽  
Human Motion Capture ◽  
Interactive Operation ◽  
Optical Motion ◽  
Feature Information ◽  
Infrared Cameras

As the effective capture region of optical motion capture system is limited by quantity, installation mode, resolution and focus of infrared cameras, the reflective markers on certain body parts (such as wrists, elbows, etc.) of multi-actual trainees may be obscured when they perform the collaborative interactive operation. To address this issue, motion data compensation method based on the additional feature information provided by the electromagnetic spatial position tracking equipment is proposed in this paper. The main working principle and detailed realization process of the proposed method are introduced step by step, and the practical implementation is presented to illustrate its validity and efficiency. The results show that the missing capture data and motion information of relevant obscured markers on arms can be retrieved with the proposed method, which can avoid the simulation motions of corresponding virtual operators being interrupted and deformed during the collaborative interactive operation process performed by multi-actual trainees with optical human motion capture system in a limited capture range.

Design of Multi-User Aerobics Wireless Human Motion Capture System Based on MEMS

2013 ◽  
Vol 650 ◽  
pp. 518-522
Author(s):  
Juan Xiao
Keyword(s):  
Real Time ◽  
Motion Capture ◽  
Large Scale ◽  
Three Dimensional ◽  
Human Motion ◽  
Motion Capture System ◽  
Human Motion Capture ◽  
Large Scale Data ◽  
Core Technology ◽  
Real Time Transmission

Main characteristics of recent human motion capture systems are analyzed in the paper firstly. Based on that, a new multi-user aerobics wireless human motion capture system based on MEMS is proposed. Design of its framework and core technology solutions including large-scale data obtain, multi-hop wireless sensor and high-frequency real-time transmission are put forward. Finally, three-dimensional real-time reconstructions of the multi-user aerobics wireless motion capture system are showed in the paper.

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