A feasibility study on using a Kinect-based human motion tracking system to promote safe patient handling

2017 ◽  
Author(s):  
Wenbing Zhao ◽  
Qing Wu ◽  
Deborah D. Espy ◽  
M. Ann Reinthal ◽  
Xiong Luo ◽  
...  
Keyword(s):  
Feasibility Study ◽  
Motion Tracking ◽  
Tracking System ◽  
Human Motion ◽  
Patient Handling ◽  
Human Motion Tracking ◽  
Safe Patient Handling ◽  
Motion Tracking System

Human motion tracking system using coded Fresnel lens arrays

2005 ◽  
Author(s):  
M. Shankar ◽  
J. B. Burchett ◽  
S. D. Feller ◽  
B. D. Guenther ◽  
D. J. Brady
Keyword(s):  
Motion Tracking ◽  
Tracking System ◽  
Fresnel Lens ◽  
Human Motion ◽  
Human Motion Tracking ◽  
Motion Tracking System

Design of a marker-based human motion tracking system

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

scholarly journals A flexible motion tracking system based on inertial sensors

2018 ◽  
Vol 198 ◽  
pp. 04010
Author(s):  
Zhonghao Han ◽  
Lei Hu ◽  
Na Guo ◽  
Biao Yang ◽  
Hongsheng Liu ◽  
...  
Keyword(s):  
Motion Tracking ◽  
Data Transfer ◽  
Inertial Sensors ◽  
Tracking System ◽  
Calibration Procedure ◽  
Human Motion ◽  
The Body ◽  
Support Vector ◽  
Motion Data ◽  
Motion Tracking System

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.

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