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Classification of Eye Movements Using Electrooculography and Neural Networks
Hema C. R., Paulraj. M. P , Ramkumar.S
Pages - 51 - 63     |    Revised - 10-08-2014     |    Published - 15-09-2014
Volume - 5   Issue - 4    |    Publication Date - September 2014  Table of Contents
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KEYWORDS
Electrooculography, Human Computer Interaction, Parseval features, Plancherel Features, Feed Forward Network, Time Delay Neural Network.
ABSTRACT
Electrooculography is a technique for measuring the cornea-retinal potential produced by eye movements. This paper proposes algorithms for classifying eleven eye movements acquired through electrooculography using dynamic neural networks. Signal processing techniques and time delay neural network are used to process the raw signals to identify the eye movements. Simple feature extraction algorithms are proposed using the Parseval and Plancherel theorems. The performances of the classifiers are compared with a feed forward network, which is encouraging with an average classification accuracy of 91.40% and 90.89% for time delay neural network using the Parseval and Plancherel features.
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2 refSeek 
3 Scribd 
4 SlideShare 
5 PdfSR 
1 R.Barea, L.Boquete, S.Ortega, E. Lopez, J.M. Rodriguez-Ascariz,”EOG- Based Eye Movements Codification for Human Computer Interaction”, Expert System Application,vol.33, pp.2677-2683, Feb. 2012.
2 Masaki Nakanishi, Yasue Mitsukura, Yijun Wang, Yu-Te Wang and Tzyy-Ping Jung,”Online Voluntary Eye Blink Detection Using Electrooculogram”,in Proc of International Symposium on Nonlinear Theory and its Applications,pp.114-117, Oct.2012.
3 Kim Y, Doh NL, Youm Y, Chung WK. “Robust discrimination method of the electrooculogram signals for human-computer interaction controlling mobile robot”, in proc of Intell Autom Soft Comp, pp.319-36, 2007.
4 Norris G, Wilson E,”The eye mouse, an eye communication device.”,IEEE Trans Bio Eng,vol. 14, pp. 66-70, 1997.
5 Simpson T, Broughton C, Gauthier MJA, Prochazka A ,”Toothclick Control Of a Hands-Free Computer Interface”, IEEETrans. Biomed.Eng,vol. 55, pp. 2050-2056, Aug.2008.
6 Coyle ED,” Electronic Wheelchair Controller Designed for Operation by Hand-Operated Joystick, Ultrasonic Non-Contact Head Control and Utterance From a small Word-Command Vocabulary”,in proc of the IEE Colloquium on New Developments in Electric Vehicles for Disabled Persons, pp. 31–34, 1995.
7 Venkataramanan S, Prabhat P, Choudhury SR, Nemade HB, Sahambi JS ,”Biomedical Instrumentation Based on Electrooculogram (EOG) Signal Processing and Application to a Hospital Alarm System”, in proc of the 2nd International Conference on Intelligent Sensing and Information Processing,pp.535-540, 2005.
8 Phinyomark A, Phukpattaranont P, Limsakul C ,”A Review of Control Methods for Electric Power Wheelchairs Based on Electromyography (EMG) Signals With Special Emphasis on pattern recognition”, IETE Tech, pp. 316-326, 2011.
9 Panicker RC, Puthusserypady S, Sun Y,”An Asynchronous P300 BCI with SSVEP-Based Control State Detection”, IEEE Trans. Biomed. Eng, vol. 58, pp. 1781-1788, Jun.2011.
10 Evans DG, Drew R, Blenkhorn P,” Controlling Mouse Pointer Position Using an Infrared Head-Operated JoyStick”, IEEE Trans. Rehabil. Eng., vol. 8, pp.107-117, 2000.
11 Barea R, Boquete L, Mazo M, Lopez E.”System for Assisted Mobility Using Eye Movements Based on Electrooculography”, IEEE Trans Neural System Rehabilitation Eng, pp. 209-18,2002.
12 Sunmee Park, Dong Woo Kim and Hee Chan Kim,”Development of Human Computer Interface Device Using Electrooculogram for The ALS Patient”, in proc of Third European Medical and Bilogical Engineering Conference”,pp.20-25, Nov.2005.
13 Tsai JZ, Lee CK., Wu CM., Wu JJ, Kao KP.,”A feasibility study of an eye-writing system based on electro-oculography.”,J Med Biol. Eng,vol.28, pp. 39-46, Nov.2008.
14 Arslan Qamar Malik and Jehanzeb Ahmad,” Retina Based Mouse Control”,Journal of Electrical and Computer Engineering, vol.2, pp.780-784, Dec.2007.
15 A.B.Usakli, S.Gurkan, F.Aloise, G.Vecchiato, F.Babilon,” On The Use of Electrooculogram for Efficient Human Computer Interfaces”, Computational Inteligence and NeuroScience,2010.
16 Siriwadee Aungsakun,” Development of Robust Electrooculography Based Human–Computer Interface Controlled by Eight Directional Eye movements”, International Journal of Physical Sciences, vol.7, pp. 2196-2208, Mar.2012.
17 http://en.wikipedia.org/wiki/Electrooculography, April.3, 2014.
18 Hari Singh, Jaswinder Singh,”A Review on Electrooculography”, International Journal of Advanced Engineering Technology”, vol.3, pp. 115-112, Dec.2012.
19 Rand Swenson. Internet: https://www.dartmouth.edu/~rswenson/NeuroSci/chapter_8D.html,[June.4, 2014].
20 Ted Burke. Internet: http://bioelectromagnetism.wordpress.com/2013/01/16/theelectrooculogram/,Jan.16, 2013, [June. 4, 2014 at 6:45].
21 http://www.bem.fi/book/28/28.htm.
22 http://en.wikipedia.org/wiki/Short-time_Fourier_transform, March.18, 2014.
23 Hema.C.R, Paulraj.M.P, Adom.A.H,” Improving classification of EEG signals for a four-state brain machine interface”, IEEE-EMBS Conference on Biomedical Engineering and Science,2012, pp.615-620.
24 Ronald N. Bracewell, “Rayleigh's Theorem” in The Fourier Transform and Its Applications”,New York: McGraw-Hill, 1965, pp.112-113.
25 Titchmarsh, E. C.,” A Contribution to the Theory of Fourier Transforms”, in Proc London Mathematical. Society, 1924, pp. 279.
26 Ramkumar.S, Hema.C.R,” Recognition of Eye Movement Electrooculogram Signals Using Dynamic Neural Networks “, KJCS, vol.6, pp. 12-20, Oct.2013.
27 N.P Padhy,” Artificial Neural network” in Artificial Intelligence and Intelligent Systems, New Delhi: Oxford University press, 2005, pp.412.
28 Hema.C.R,” Brain Machine Interface Controlled Robot Chair”, PhD Thesis, Universiti Malaysia Perlis, Malaysia, 2010.
Dr. Hema C. R.
Dean, Faculty of Engineering, Karpagam University, Coimbatore, 641021 - India
hemacr@yahoo.com
Dr. Paulraj. M. P
Professor, School of Mechatronic Engineering, University Malaysia Perlis - Malaysia
Mr. Ramkumar.S
Research Scholar, Karpagam University, Coimbatore, 641021 - India