DocumentCode :
1535929
Title :
Using Machine Vision and Hand-Motion Control to Improve Crane Operator Performance
Author :
Peng, Kelvin Chen Chih ; Singhose, William ; Bhaumik, Purnajyoti
Author_Institution :
Woodruff Sch. of Mech. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
42
Issue :
6
fYear :
2012
Firstpage :
1496
Lastpage :
1503
Abstract :
The payload oscillation inherent to all cranes makes it challenging for human operators to manipulate payloads quickly, accurately, and safely. Manipulation difficulty is also increased by nonintuitive crane-control interfaces. This paper describes a new interface that allows operators to drive a crane by moving a hand-held device (wand or glove) freely in space. A crane-mounted camera tracks the movement of the hand-held device, the position of which is used to drive the crane. Two control architectures were investigated. The first uses a simple feedback controller, and the second uses feedback and an input shaper. Two operator studies demonstrate that hand-motion crane control is faster and safer than using a standard push-button pendent control.
Keywords :
cameras; computer vision; cranes; feedback; motion control; object tracking; user interfaces; crane operator performance; crane-mounted camera; feedback controller; hand-held device; hand-motion control; input shaper; machine vision; movement tracking; nonintuitive crane-control interfaces; payload manipulation; payload oscillation; push-button pendent control; Cameras; Cranes; Feedback control; Motion control; Oscillators; User interfaces; Control interface; cranes; input shaping; machine vision; oscillation;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4427
Type :
jour
DOI :
10.1109/TSMCA.2012.2199301
Filename :
6214619
Link To Document :
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