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JCR Impact Factor: 1.221
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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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2021-Jun-30
Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

2021-Jun-06
SCOPUS published the CiteScore for 2020, computed by using an improved methodology, counting the citations received in 2017-2020 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2020 is 2.5, better than all our previous results.

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2020-Jun-29
Clarivate Analytics published the InCites Journal Citations Report for 2019. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.102 (1.023 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.734.

2020-Jun-11
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  1/2008 - 11

User Head Movement Recognition and Interpretation System for Computer Interaction

UNGUREAN, C. O. See more information about UNGUREAN, C. O. on SCOPUS See more information about UNGUREAN, C. O. on IEEExplore See more information about UNGUREAN, C. O. on Web of Science
 
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Download PDF pdficon (715 KB) | Citation | Downloads: 983 | Views: 4,606

Author keywords
human computer interaction, gesture recognition, image processing, face recognition, Haar-like features, camshift algorithm

References keywords
recognition(6), motion(6), pentiuc(4), intel(4), human(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2008-04-02
Volume 8, Issue 1, Year 2008, On page(s): 62 - 66
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2008.01011
Web of Science Accession Number: 000259903500011
SCOPUS ID: 77955614730

Abstract
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Full text preview
The aim of the paper is to describe a system for the head gesture recognition developed in the frame of INTEROB project1. The goal of this project consists in developing an interaction based on gestures with information on robotic systems. In the paper we discussed a method for controlling the mouse pointer movements on the screen by recognizing the operator head movements captured by a video camera. In the second part of the paper it is described a fast and accurate method for hand posture recognition in video sequences.


References | Cited By  «-- Click to see who has cited this paper

[1] A. van Dam, "Post-WIMP user interfaces", Communications of the ACM, Vol. 40, No. 2, Pages 63-67, Feb. 1997.
[CrossRef] [Web of Science Times Cited 145] [SCOPUS Times Cited 241]


[2] S. Oviatt and W. Wahlster (eds.), Human-Computer Interaction (Special Issue on Multimodal Interfaces), Lawrence Erlbaum Associates, Volume 12, Numbers 1 & 2, 1997.

[3] R. D. Vatavu, S.G. Pentiuc, C. Chaillo, On Natural Gestures for Interacting in Virtual Environments Advances in Electrical and Computer Engineering, Suceava, Romania ISSN 1582-7445, No 2/2005, volume 5 (12), pp. 72-79.

[4] G. Mahalu, R. Pentiuc, "Acquisition and Processing System for the Photometry Parameters of The Bright Objects", Advances in Electrical and Computer Engineering, Suceava, Romania, ISSN 1582-7445, No 1/2001, volume 1 (8), pp. 26-31.

[5] Pentiuc, S. G., Vatavu, R., Cerlinca, T. I., and Ungureanu, O. "Methods and Algoritms for Gestures Recognition and Understanding", The Eighth All-Ukrainian International Conference, UkrOBRAZ'2006, pp. 15-18, Ukraine, August 2006.

[6] Keates S., Perricos C., "Gesture as a means of computer access", Communication Matters. 10. 1, pp. 17-19

[7] P. Viola and M. J. Jones, "Rapid Object Detection using a Boosted Cascade of Simple Features", Proceedings of IEEE Computer Society's Computer Vision and Pattern Recognition (CVPR 2001), Vol. 1, pp. 511-518, 2001.

[8] R. Lienhart, J. Maydt, "An Extended Set of Haar-like Features for Rapid Object Detection", Intel Labs, 2002, Intel

[9] G. R. Bradski, "Computer video face tracking for use in a perceptual user interface". Intel Technology Journal, Q2 1998.

[10] D. Comaniciu and P. Meer, "Robust Analysis of Feature Spaces: Color Image Segmentation," CVPR'97, pp. 750-755.

[11] T. S. Caetano, D. A. C. Barone, "A probabilistic model for human skin color", IAP Conf. 2001, pp. 279-283.

[12] Leslie G. Farkas, Jeffrey C. Posnick, Tania M. Hreczko, "Anthropometric Growth Study of the Head", In: The Cleft Palate-Craniofacial Journal: Vol. 29, No. 4, pp. 303-308, 1992.
[CrossRef] [SCOPUS Times Cited 85]


[13] [Online] Available: Temporary on-line reference link removed - see the PDF document

[14] Polana R., Nelson R., "Low level recognition of human motion", In:Workshop on Motion of Nonrigid and Articulated Objects, pp. 77-82, 1994.
[CrossRef]


[15] Black M., Yacoob Y., "Tracking and recognizing rigid and nonrigid facial motions using local parametric model of image motion", In: Proceedings International Conference Computer Vision, pp 374-381. 1995.

[16] Madabhushi A., Aggarwal J., "A Bayesian approach to human activity recognition", In: Proceedings of IEEE Workshop on Visual Surveillance, pp. 25-32. 1999.

[17] Chen, F. S., Fu, C. M., Huang, C. L., "Hand gesture recognition using a real-time tracking method and hidden Markov models", IVC(21), No.8, August 2003, pp. 745-758.

[18] Cutler R., Davis L., "Robust real-time periodic motion detection, analysis, and applications", IEEE Trans Pattern Anal Mach Intel 22(8):781-796, 2000.
[CrossRef] [Web of Science Times Cited 372] [SCOPUS Times Cited 506]


[19] Gary R. Bradski, James W. Davis, "Motion segmentation and pose recognition with motion history gradients", Machine Vision and Applications, 2002, 13:174-184.
[CrossRef] [Web of Science Times Cited 155] [SCOPUS Times Cited 212]


[20] M. Cerlinca, A. Graur, S. G. Pentiuc, "Simulation of Switch Box Routing in FPGA", Advances in Electrical and Computer Engineering, Suceava, Romania, ISSN 1582-7445, No 1/2002, volume 2 (9), pp. 86-90.

References Weight

Web of Science® Citations for all references: 672 TCR
SCOPUS® Citations for all references: 1,044 TCR

Web of Science® Average Citations per reference: 34 ACR
SCOPUS® Average Citations per reference: 52 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-10-18 10:16 in 39 seconds.




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Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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


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