DocumentCode
1798903
Title
Tracking of human operator arms oriented to the control of two robotic arms
Author
Jimenez Moreno, Robinson
Author_Institution
GRITEL - Fundacion Univ. Autonoma de Colombia, Bogotá, Colombia
fYear
2014
fDate
17-19 Sept. 2014
Firstpage
1
Lastpage
4
Abstract
This article presents the development of machine vision algorithms that allows to manipulate two robotic arms by the operator, replicating the movements of his own arms, accomplishing control of four degrees of freedom per arm. The development is aimed to provide an environment of natural, wireless and non-invasive control, providing security to the operator in the face of achievement of unsafe tasks, either for removal of hazardous, explosive or radioactive materials, as well as possibly toxic environments or just remote control from a remote site. The tracking algorithm of the two arms is based on their detection using the skeleton tool of Microsoft Kinect sensor, as well as image processing algorithms like color space conversion, segmentation and thresholding to control the gripper arm. It was possible to obtain real-time control of the arms to four degrees of freedom, according to the monitoring of the arms of the operator in the ranges of sensor coverage.
Keywords
grippers; image colour analysis; image segmentation; motion control; object tracking; robot vision; Microsoft Kinect sensor; color space conversion; gripper arm; human operator arms; image processing; image segmentation; image thresholding; machine vision algorithm; noninvasive control; robotic arms; skeleton tool; tracking algorithm; Conferences; Manipulators; Mobile robots; Robot sensing systems; Skeleton; Tracking; human tracking; image processing; kinect; machine vision; robotic arm;
fLanguage
English
Publisher
ieee
Conference_Titel
Image, Signal Processing and Artificial Vision (STSIVA), 2014 XIX Symposium on
Conference_Location
Armenia
Type
conf
DOI
10.1109/STSIVA.2014.7010125
Filename
7010125
Link To Document