|4/2016 - 15|
Remote Control of an Autonomous Robotic Platform Based on Eye TrackingPASARICA, A. , ANDRUSEAC, G. G. , ADOCHIEI, I. , ROTARIU, C. , COSTIN, H.
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (2,518 KB) | Citation | Downloads: 292 | Views: 853|
electrical stimulation, mechatronic hand, neuromuscular stimulation, rehabilitation robotics, robot control
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
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|
| 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 69]
 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.
 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
 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.
 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.
 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] [SCOPUS Times Cited 3]
 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 2]
 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]
 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 24] [SCOPUS Times Cited 21]
 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 55] [SCOPUS Times Cited 61]
 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 10]
 C. C. de Wit, B. Siciliano, G. Bastin, "Theory of Robot Control", Springer Science and Business Media", ISBN: 978-1-4471-1503-8, 2012.
 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 8]
 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,
 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.
 R.J. Jacob, K.S. Karn, "Eye Tracking in Human-Computer Interaction and Usability Research: Ready to Deliver the Promises", The Minds 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 323] [SCOPUS Times Cited 399]
 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.
 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 6]
 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 121] [SCOPUS Times Cited 137]
 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.
 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.
 L. Valk, "Lego Mindstorms EV3 Discovery Book: A Beginners Guide to Building and Programming Robots", No Starch Press, ISBN: 978-1-59327-532-7, 2014.
 LEGO MINDSTORMS EV3, [Online] Available: Temporary on-line reference link removed - see the PDF document
 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 64]
 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 7] [SCOPUS Times Cited 11]
Web of Science® Citations for all references: 534 TCR
SCOPUS® Citations for all references: 795 TCR
Web of Science® Average Citations per reference: 21 ACR
SCOPUS® Average Citations per reference: 31 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 2018-09-21 05:56 in 143 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
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.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.