A hybrid human motion tracking system for virtual rehabilitation

Author(s):  
Sen Zhang ◽  
Boon Yuen Tan ◽  
Kee Hao Leo ◽  
Ronny Quin Fai Tham
2005 ◽  
Author(s):  
M. Shankar ◽  
J. B. Burchett ◽  
S. D. Feller ◽  
B. D. Guenther ◽  
D. J. Brady

2007 ◽  
Vol 2 (1) ◽  
pp. 59-67 ◽  
Author(s):  
A. Kolahi ◽  
M. Hoviattalab ◽  
T. Rezaeian ◽  
M. Alizadeh ◽  
M. Bostan ◽  
...  

2018 ◽  
Vol 198 ◽  
pp. 04010
Author(s):  
Zhonghao Han ◽  
Lei Hu ◽  
Na Guo ◽  
Biao Yang ◽  
Hongsheng Liu ◽  
...  

As a newly emerging human-computer interaction, motion tracking technology offers a way to extract human motion data. This paper presents a series of techniques to improve the flexibility of the motion tracking system based on the inertial measurement units (IMUs). First, we built a most miniatured wireless tracking node by integrating an IMU, a Wi-Fi module and a power supply. Then, the data transfer rate was optimized using an asynchronous query method. Finally, to simplify the setup and make the interchangeability of all nodes possible, we designed a calibration procedure and trained a support vector machine (SVM) model to determine the binding relation between the body segments and the tracking nodes after setup. The evaluations of the whole system justify the effectiveness of proposed methods and demonstrate its advantages compared to other commercial motion tracking system.


Sign in / Sign up

Export Citation Format

Share Document