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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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  4/2016 - 15

 HIGH-IMPACT PAPER 

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
 
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Download PDF pdficon (2,518 KB) | Citation | Downloads: 1,122 | Views: 3,256

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

[1] S. Fasoli S., I.H. Krebs, N. Hogan, "Robotic Technology and Stroke Rehabilitaion: Translating Research into Practice", Topics in Stroke Rehabilitaion, vol. 11, iss. 4, pp. 11-19, 2004.
[CrossRef] [SCOPUS Times Cited 97]


[2] L. Demers, R. Weiss-Lambrou, B. Ska, "The Quebec User Evaluation of Satisafaction with Assistive Technology (QUEST 2.0): An Overview and Recent Progress", Technology and Disability, vol. 14, pp. 101-105, 2002.
[CrossRef]


[3] Statistic Data, Ministry of Labor, Family, Social Protection and Elderly, National Authority for Disabled Persons, Statistic Bulletin, 30 June 2016, [Online] Available: Temporary on-line reference link removed - see the PDF document

[4] S. Verma, P. Pillai, Y.F. Hu, "An eye tracking based wireless control system", in Proc. 26th International Conference on CAD/CAM, Robotics and Factories of the Future, Kuala Lumpur, Malaysia, pp. 686-696, 2011.
[CrossRef]


[5] N. Cherabit, F. Z. Chelali, A. Djeradi, "Circular Hough Transform for Iris localization", Science and Technology, e-ISSN: 2163-2677, 2(5), pp. 114-121, 2012.
[CrossRef]


[6] G. Andruseac, R. Iacob, "Exploring the potential of using educational robotics as an effective tool to support collaborative learning", in Proc. 4th IEEE International Conference on E-health and Bioengineering EHB 2013, ISBN: 978-1-4799-2372-4, pp. 1-4, 2013.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 7]


[7] R.G. Lupu, R.G. Bozomitu, V. Cehan, "Detection of Gaze Direction by Using Improved Eye-Tracking Technique", Proceedings of the 37th International Spring Seminar on Electronic Technology (ISSE), Dresden, Germany, pp. 298-301, 2014.
[CrossRef] [SCOPUS Times Cited 3]


[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 8] [SCOPUS Times Cited 8]


[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 62] [SCOPUS Times Cited 76]


[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.
[CrossRef] [Web of Science Times Cited 165] [SCOPUS Times Cited 184]


[11] S. Saha, S. Neogy, "A Case Study on Smart Surveillance Application System Using WSN and IP Webcam", Applications and Innovations in Mobile Computing (AIMoC), Kolkata, pp. 36-41, 2014.
[CrossRef] [SCOPUS Times Cited 18]


[12] C. C. de Wit, B. Siciliano, G. Bastin, "Theory of Robot Control", Springer Science and Business Media", ISBN: 978-1-4471-1503-8, 2012.
[CrossRef]


[13] H. Qin, X. Wang, M. Liang, W. Yan, "A Novel Pupil Detection Algorithm for Infrared Eye Image", Signal Processing, Communication and Computing (ICSPCC), KunMing, pp. 1-5, 2013.
[CrossRef] [SCOPUS Times Cited 12]


[14] A. Al-Rahayfen, M. Faezipour, "Eye Tracking and Head Movement Detection: A State-of-Art Survey", Rehabilitaion Devices and Systems, IEEE Journal of Translational Engineering in Health and Medicine, vol. 1, 2013,
[CrossRef] [Web of Science Times Cited 150] [SCOPUS Times Cited 215]


[15] D. Li, D. Winfield, D.J. Parkhurst, "Starburst: A hybrid algorithm for video-based eye tracking combining feature-based and model-based approaches", Human Computer Interaction Program, Iowa State University, Ames, Iowa, 50010.University Science, 1989.
[CrossRef] [SCOPUS Times Cited 313]


[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 925] [SCOPUS Times Cited 662]


[17] M. Soltany, S.T. Zadeh, H.R. Pourreza, "Fast and Accurate Pupil Positioning Algorithm using Circular Hough Transform and Gray Projection", International Conference on Computer Communication and Management, Singapore, vol. 5, pp. 556-561, 2012.
[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 21]


[19] D. M. Stampe, "Heuristic filtering and reliable calibration methods for video-based pupil-tracking systems", Behavior Research Methods, Instruments, & Computers, vol. 25, iss. 2, pp. 137-142, 1993.
[CrossRef] [Web of Science Times Cited 195] [SCOPUS Times Cited 217]


[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 261]


[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 9] [SCOPUS Times Cited 11]




References Weight

Web of Science® Citations for all references: 1,518 TCR
SCOPUS® Citations for all references: 2,105 TCR

Web of Science® Average Citations per reference: 58 ACR
SCOPUS® Average Citations per reference: 81 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 2024-12-08 10:33 in 135 seconds.




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