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JCR Impact Factor: 0.700
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Issues per year: 4
Current issue: Aug 2024
Next issue: Nov 2024
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PUBLISHER

Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  3/2013 - 12

3D Hand Gesture Recognition using the Hough Transform

OPRISESCU, S. See more information about OPRISESCU, S. on SCOPUS See more information about OPRISESCU, S. on IEEExplore See more information about OPRISESCU, S. on Web of Science, BARTH, E. See more information about BARTH, E. on SCOPUS See more information about BARTH, E. on SCOPUS See more information about BARTH, E. on Web of Science
 
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Download PDF pdficon (715 KB) | Citation | Downloads: 1,267 | Views: 4,332

Author keywords
image processing, computer vision, gesture recognition, Kinect camera, Hough transform

References keywords
gesture(11), recognition(10)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2013-08-31
Volume 13, Issue 3, Year 2013, On page(s): 71 - 76
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.03012
Web of Science Accession Number: 000326321600012
SCOPUS ID: 84884965434

Abstract
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This paper presents an automatic 3D dynamic hand gesture recognition algorithm relying on both intensity and depth information provided by a Kinect camera. Gesture classification consists of a decision tree constructed on six parameters delivered by the Hough transform of projected 3D points. The Hough transform is originally applied, for the first time, on the projected gesture trajectories to obtain a reliable decision. The experimental data obtained from 300 video sequences with different subjects validate the proposed recognition method.


References | Cited By

Cited-By Clarivate Web of Science

Web of Science® Times Cited: 3 [View]
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Cited-By SCOPUS

SCOPUS® Times Cited: 4
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Cited-By CrossRef

[1] LPI: learn postures for interactions, Raees, Muhammad, Ullah, Sehat, Machine Vision and Applications, ISSN 0932-8092, Issue 6, Volume 32, 2021.
Digital Object Identifier: 10.1007/s00138-021-01235-0
[CrossRef]

[2] A New Contactless Fault Diagnosis Approach for Pantograph-Catenary System Using Pattern Recognition and Image Processing Methods, AYDIN, I., KARAKOSE, M., AKIN, E., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 14, 2014.
Digital Object Identifier: 10.4316/AECE.2014.03010
[CrossRef] [Full text]

[3] Thumb Inclination-Based Manipulation and Exploration, a Machine Learning Based Interaction Technique for Virtual Environments, Raees, Muhammad, Ullah, Sehat, Rehman, Inam Ur, Azhar, Muhammad, Mehran University Research Journal of Engineering and Technology, ISSN 0254-7821, Issue 2, Volume 40, 2021.
Digital Object Identifier: 10.22581/muet1982.2102.10
[CrossRef]

[4] Railway pantograph contact strip monitoring through image processing techniques, Strano, Salvatore, Terzo, Mario, Tordela, Ciro, 2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI), ISBN 978-1-6654-4135-3, 2021.
Digital Object Identifier: 10.1109/RTSI50628.2021.9597322
[CrossRef]

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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