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JCR Impact Factor: 0.595
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Issues per year: 4
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Next issue: Nov 2017
Avg review time: 105 days


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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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ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E.
Issue 3/2016

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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

2017-Jan-30
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

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  4/2016 - 15

Remote Control of an Autonomous Robotic Platform Based on Eye Tracking

PASARICA, A. See more information about PASARICA, A. on SCOPUS See more information about PASARICA, A. on IEEExplore See more information about PASARICA, A. on Web of Science, ANDRUSEAC, G. G. See more information about  ANDRUSEAC, G. G. on SCOPUS See more information about  ANDRUSEAC, G. G. on SCOPUS See more information about ANDRUSEAC, G. G. on Web of Science, ADOCHIEI, I. See more information about  ADOCHIEI, I. on SCOPUS See more information about  ADOCHIEI, I. on SCOPUS See more information about ADOCHIEI, I. on Web of Science, ROTARIU, C. See more information about  ROTARIU, C. on SCOPUS See more information about  ROTARIU, C. on SCOPUS See more information about ROTARIU, C. on Web of Science, COSTIN, H. See more information about COSTIN, H. on SCOPUS See more information about COSTIN, H. on SCOPUS See more information about COSTIN, H. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (2,518 KB) | Citation | Downloads: 226 | Views: 502

Author keywords
electrical stimulation, mechatronic hand, neuromuscular stimulation, rehabilitation robotics, robot control

References keywords
tracking(8), technology(8), research(6), science(4), pupil(4), mobile(4), isse(4), ilas(4), detection(4), control(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2016-11-30
Volume 16, Issue 4, Year 2016, On page(s): 95 - 100
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.04015
Web of Science Accession Number: 000390675900015
SCOPUS ID: 85007560029

Abstract
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Full text preview
Eye-tracking devices are currently used for improving communication and psychosocial status among patients with neuro-motor disabilities. This paper presents the experimental implementation of a control system for a robotic platform using eye tracking technology. The main system is based on an eye tracking subsystem that uses the circular Hough transform algorithm. A central processing unit performs the data transmission between the user and the robotic platform. Experimental tests were conducted to determine the device's performances and usability for patients with neuro-motor disabilities. Moreover, the test results were used to determine the control system learning curve. We created a data base containing information on the robotic platform processing time and precision of movement for improving the platform's performances.


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

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[CrossRef]


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[CrossRef]


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[CrossRef] [SCOPUS Times Cited 2]


[8] R.G. Bozomitu, "New Method of Detecting Voluntary Blinking Used to Communicate with Disabled People", Advances in Electrical and Computer Engineering, ISSN: 1582-7445, vol. 12, No. 4, pp. 47-52, 2012.
[CrossRef] [Full Text] [Web of Science Times Cited 4] [SCOPUS Times Cited 4]


[9] E. Pasqualotto, T. Matuz, S. Federici, C.A. Ruf, M. Bartl, M.O. Belardinelli, N. Birbaumer, S. Halder, "Usability and Workload of Access Technology for People with Severe Motor Impairment: A Comparison of Brain-Computer Interfacing and Eye Tracking", Neurorehabilitation and neural repair, 2015.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 15]


[10] J. L. Collinger, M. L. Boninger, T. M. Bruns, K. Curley, W. Wang, D. J. Weber, "Functional Priorities, Assistive Technology, and Brain-Computer Interfaces after Spinal Cord Injury", Journal of Rehabilitation Research and Development, vol. 50, no. 2, pp. 145-160, 2013.
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[CrossRef]


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[CrossRef] [SCOPUS Times Cited 6]


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[CrossRef]


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[CrossRef]


[16] R.J. Jacob, K.S. Karn, "Eye Tracking in Human-Computer Interaction and Usability Research: Ready to Deliver the Promises", The Mind’s Eye: Cognitive and Applied Aspects of Eye Movement Research, Section 4, Hyona, Radach & Deubel, Oxford, England, Elsevier Science, ISBN:0-444-51020-6, pp. 573-605, 2003.
[CrossRef] [Web of Science Times Cited 276] [SCOPUS Times Cited 351]


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[CrossRef]


[18] R. G. Bozomitu, A. Pasarica, V. Cehan, C. Rotariu and C. Barabasa, "Pupil centre coordinates detection using the circular Hough transform technique," in Proc. 38th International Spring Seminar on Electronics Technology (ISSE), Eger, 2015, pp. 462-465.
[CrossRef] [SCOPUS Times Cited 4]


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[20] D. Novischi, C. Ilas, S. Paturca, M. Ilas, "Vision Based Autonomous Navigation in Unstructured Static Enviroment fo Mobile Ground Robots", Control Engineering and Applied Informatics, ISSN: 1454-8658, vol. 13, no. 2, pp. 26-31, 2011.

[21] C. Ilas, D. Novischi, S. Paturca, M. Ilas, "Real-Time Image Processing Algorithms for Object and Distances Identification in Mobile Robot Trajectory Planning", Control Engineering and Applied Informatics, ISSN: 1454-8658, vol. 13, no. 2, pp. 26-31, 2011.

[22] L. Valk, "Lego Mindstorms EV3 Discovery Book: A Beginner’s Guide to Building and Programming Robots", No Starch Press, ISBN: 978-1-59327-532-7, 2014.

[23] LEGO MINDSTORMS EV3, [Online] Available: Temporary on-line reference link removed - see the PDF document

[24] K. Holmqvist, M. Nystrom, F. Mulvey, "Eye Tracker Data Quality: What It Is and How to Measure It", Proceedings of the Symposium on eye Tracking Research and Applications (ETRA), New York, pp. 45-52, 2012.
[CrossRef] [SCOPUS Times Cited 45]


[25] A. Tuncer, M. Yildirim, K. Erkan, "A Motion Planning System for Mobile Robots", Advances in Electrical and Computer Engineering, vol. 12, no. 1, pp. 57-62, 2012.
[CrossRef] [Full Text] [Web of Science Times Cited 6] [SCOPUS Times Cited 9]




References Weight

Web of Science® Citations for all references: 451 TCR
SCOPUS® Citations for all references: 680 TCR

Web of Science® Average Citations per reference: 17 ACR
SCOPUS® Average Citations per reference: 26 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 2017-10-15 07:56 in 140 seconds.




Note1: Web of Science® is a registered trademark of Thomson Reuters.
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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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