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Remote Control of an Autonomous Robotic Platform Based on Eye TrackingPASARICA, A. , ANDRUSEAC, G. G. , ADOCHIEI, I. , ROTARIU, C. , COSTIN, H.
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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)
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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.
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| 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 63]
 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 2]
 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 14] [SCOPUS Times Cited 15]
 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 41] [SCOPUS Times Cited 47]
 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 7]
 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 6]
 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 276] [SCOPUS Times Cited 351]
 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 4]
 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 110] [SCOPUS Times Cited 125]
 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 45]
 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]
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