Title :
In vivo measurement of limb movement of fracture patients based on infrared depth image
Author :
Mei Zhang;Lin Lin
Author_Institution :
School of Electronic Engineering, Dongguan University of Technology, Dongguan, China
Abstract :
In vivo detection of movement of the fracture patients was the important tool to evaluate exercising effect of rehabilitation exercise. A new method was applied to measuring the position of body, the range of motion and joint angles with infrared depth images. Based on the depth histogram analysis, the position of joints of skeleton was obtained. The joint angles were theoretical analyzed and experimental verified by comparison with angle ruler. There was no obvious different between the results by depth image and the angle ruler. The distribution of relative error was presented and analyzed.
Keywords :
"Decision support systems","Skeleton","Fitting","Q measurement","Discrete wavelet transforms","Computer science"
Conference_Titel :
Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2015 IEEE
Print_ISBN :
978-1-4799-1979-6
DOI :
10.1109/IAEAC.2015.7428726
