3/2012 - 13 |
An Efficient Solution for Hand Gesture Recognition from Video SequencePRODAN, R.-C. , PENTIUC, S.-G. , VATAVU, R.-D. |
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Author keywords
human robot interaction, computer vision, robotic arm, gesture recognition, image processing
References keywords
recognition(7), robot(6), gesture(6), vatavu(4), processing(4), interaction(4), image(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2012-08-31
Volume 12, Issue 3, Year 2012, On page(s): 85 - 88
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2012.03013
Web of Science Accession Number: 000308290500013
SCOPUS ID: 84865856673
Abstract
The paper describes a system of hand gesture recognition by image processing for human robot interaction. The recognition and interpretation of the hand postures acquired through a video camera allow the control of the robotic arm activity: motion - translation and rotation in 3D - and tightening/releasing the clamp. A gesture dictionary was defined and heuristic algorithms for recognition were developed and tested. The system can be used for academic and industrial purposes, especially for those activities where the movements of the robotic arm were not previously scheduled, for training the robot easier than using a remote control. Besides the gesture dictionary, the novelty of the paper consists in a new technique for detecting the relative positions of the fingers in order to recognize the various hand postures, and in the achievement of a robust system for controlling robots by postures of the hands. |
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[1] 3D Hand Gesture Recognition using the Hough Transform, OPRISESCU, S., BARTH, E., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.03012 [CrossRef] [Full text]
[2] 3D Depth Information Based 2D Low-Complexity Hand Posture and Gesture Recognition Design for Human Computer Interactions, Chiang, Ti, Fan, Chih-Peng, 2018 3rd International Conference on Computer and Communication Systems (ICCCS), ISBN 978-1-5386-6350-9, 2018.
Digital Object Identifier: 10.1109/CCOMS.2018.8463327 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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