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Estimation of Electrooculography and Blinking Signals Based on Filter Banks

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Computer Vision and Graphics (ICCVG 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7594))

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Abstract

Estimation of electrooculography (EOG) and blinking signals are important for medical applications and non–medical, like computer animation. Both signals are measured together using set of electrodes and the separation of them is necessary. Filter banks based technique for the estimation of EOG and blinking signals is considered. The gradient search allows estimation of the height and width of blinking pulses and the slopes between saccades. Improved detection related to the time domain of saccades is proposed too.

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References

  1. Augustyniak, P.: Przetwarzanie sygnałów elektrodiagnostycznych (textbook in Polish), Uczelniane Wydawnictwa Naukowo–Dydaktyczne AGH, Kraków (2001) ISBN 8388408372

    Google Scholar 

  2. Augustyniak, P.: Transformacje falkowe w zastosowanich elektrodiagnostycznych (textbook in Polish), Uczelniane Wydawnictwa Naukowo–Dydaktyczne AGH, Kraków (2003) ISBN 8389388103

    Google Scholar 

  3. Bankman, I.N., Thakor, N.V.: Noise reduction in biological step signals: application to saccadic EOG. Med. Biol. Eng. Comput. 28(6), 544–549 (1990) ISSN 0140–0118

    Article  Google Scholar 

  4. Barea, R., Boquete, L., Mazo, M., López, E.: Wheelchair Guidance Strategies Using EOG. Journal of Intelligent and Robotic Systems 34, 279–299 (2002) ISSN 1573-0409

    Article  MATH  Google Scholar 

  5. Brown, M., Marmor, M., Vaegan, Zrenner, E., Brigell, M., Bach, M.: ISCEV Standard for Clinical Electro–oculography (EOG). Doc. Ophthalmol. 113, 205–212 (2006) ISSN 1573–2622

    Article  Google Scholar 

  6. Bulling, A., Roggen, D., Tröster, G.: Wearable EOG goggles: Seamless sensing and context–awareness in everyday environments. Journal of Ambient Intelligence and Smart Environments (JAISE) 1(2), 157–171 (2009), doi:10.3929/ethz-a-005783740, ISSN 1876–1364

    Google Scholar 

  7. Denney, D., Denney, C.: The eye blink electro–oculogram. British Journal of Ophthalmology 68, 225–228 (1984) ISSN 1468–2079

    Article  Google Scholar 

  8. Duchowski, A.: Eye Tracking Methodology: Theory and Practice. Springer (2007) ISBN 1846286085

    Google Scholar 

  9. Gu, E., Lee, S.P., Badler, J.B., Badler, N.I.: Eye Movements, Saccades, and Multiparty Conversations. In: Deng, Z., Neumann, U. (eds.) Data–Driven 3D Facial Animation, pp. 79–97. Springer (2008) ISBN 1846289068

    Google Scholar 

  10. Juhola, M.: Median filtering is appropriate to signals of saccadic eye movements. Computers in Biology and Medicine 21, 43–49 (1991), doi: 10.1016/0010–4825(91)90034–7, ISSN 0010–4825

    Google Scholar 

  11. Khan, J.I., Komogortsev, O.: Perceptual video compression with combined scene analysis and eye–gaze tracking. In: Duchowski, A.T., Vertegaal, R. (eds.) ETRA 2004 – Proceedings of the Eye Tracking Research and Application Symposium, p. 57. ACM Press (2004) ISBN 1581138253

    Google Scholar 

  12. Krogh, E.: Normal values in clinical electrooculography. 1. Material, method, methodological investigations and distribution of the potential and time parameters. Acta Ophthalmol. (Copenh) 53(4), 563–575 (1975) ISSN 0001–639X

    Article  Google Scholar 

  13. Krupiński, R., Mazurek, P.: Estimation of Eye Blinking using Biopotentials Measurements for Computer Animation Applications. In: Bolc, L., Kulikowski, J.L., Wojciechowski, K. (eds.) ICCVG 2008. LNCS, vol. 5337, pp. 302–310. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  14. Krupiński, R., Mazurek, P.: Real–Time Low-Latency Estimation of the Blinking and EOG Signals. In: Babamir, S.M. (ed.) Real–Time Systems, Architecture, Scheduling, and Application, pp. 313–334. InTech (2012), doi:10.5772/2344, ISBN 9789535105107

    Google Scholar 

  15. Krupiński, R., Mazurek, P.: Optimization–based Technique for Separation and Detection of Saccadic Movements and Eye–blinking in Electrooculography Biosignals. In: Arabnia, H.R., Tran, Q.-N. (eds.) Software Tools and Algorithms for Biological Systems, Advances in Experimental Medicine and Biology, vol. 696, pp. 537–545. Springer (2010), doi: 10.1007/978–1–4419–7046–6_54, ISBN 9781441970459

    Google Scholar 

  16. Krupiński, R., Mazurek, P.: Median Filters Optimization for Electrooculography and Blinking Signal Separation using Synthetic Model. In: 14th IEEE/IFAC International Conference on Methods and Models in Automation and Robotics MMAR 2009, Miedzyzdroje, Poland (2010), doi:10.3182/20090819–3–PL–3002.00057

    Google Scholar 

  17. Krupiński, R., Mazurek, P.: Convergence Improving in Evolution–Based Technique for Estimation and Separation of Electrooculography and Blinking Signals. In: Piętka, E., Kawa, J. (eds.) Information Technologies in Biomedicine. AISC, vol. 69, pp. 293–302. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  18. Krupiński, R., Mazurek, P.: Towards to Real–Time System with Optimization Based Approach for EOG and Blinking Signals Separation for Human Computer Interaction. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds.) ICCHP 2010, Part 1. LNCS, vol. 6179, pp. 154–161. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  19. Krupiński, R., Mazurek, P.: Electrooculography Signal Estimation by Using Evolution–Based Technique for Computer Animation Applications. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds.) ICCVG 2010, Part I. LNCS, vol. 6374, pp. 139–146. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  20. Krupiński, R., Mazurek, P.: Sensitivity analysis of eye blinking detection using evolutionary approach. In: Procedings – International Conference on Signals and Electronic Systems, ICSES 2010, Gliwice, Poland, pp. 81–84 (2010) ISBN 142445307

    Google Scholar 

  21. Mallat, S.: A wavelet tour of signal processing. Academic Press (1999) , ISBN 012466606x

    Google Scholar 

  22. Mallat, S.G., Zhang, Z.: Matching Pursuits with Time–Frequency Dictionaries. IEEE Transactions on Signal Processing, 3397–3415 (1993) ISSN 1053–587X

    Google Scholar 

  23. Martinez, M., Soria, E., Magdalena, R., Serrano, A.J., Martin, J.D., Vila, J.: Comparative study of several Fir Median Hybrid Filters for blink noise removal in Electrooculograms. WSEAS Transactions on Signal Processing 4, 53–59 (2008) ISSN 2224–3488

    Google Scholar 

  24. Mazurek, P.: Hierarchical Track–Before–Detect Algorithm for Tracking of Amplitude Modulated Signals. In: Choraś, R.S. (ed.) Image Processing and Communications Challenges 3. AISC, vol. 102, pp. 511–518. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  25. Mazurek, P.: Optimization of bayesian Track–Before–Detect algorithms for GPGPUs implementations. Electrical Review 86(7), 187–189 (2010) ISSN 0033–2097

    Google Scholar 

  26. Niemenlehto, P.H.: Constant false alarm rate detection of saccadic eye movements in electro–oculography. Computer Methods and Programs in Biomedicine 96(2), 158–171 (2009), doi:10.1016/j.cmpb.2009.04.011, ISSN 0169–2607

    Article  Google Scholar 

  27. Poole, A., Ball, L.J.: Eye Tracking in Human–Computer Interaction and Usability Research: Current Status and Future Prospects. In: Ghaoui, C. (ed.) Encyclopedia of Human Computer Interaction, pp. 211–219. Idea Group (2005) ISBN 1591405629

    Google Scholar 

  28. Reddy, M.S., Narasimha, B., Suresh, E., Rao, K.S.: Analysis of EOG signals using wavelet transform for detecting eye blinks. In: 2010 International Conference on Wireless Communications and Signal Processing (WCSP), pp. 1–4 (2010), doi:10.1109/WCSP.2010.5633797, ISBN 1424475568

    Google Scholar 

  29. Schlgöl, A., Keinrath, C., Zimmermann, D., Scherer, R., Leeb, R., Pfurtscheller, G.: A fully automated correction method of EOG artifacts in EEG recordings. Clinical Neurophysiology 118, 98–104 (2007), doi:10.1016/j.clinph.2006.09.003, ISSN 1744–4144

    Article  Google Scholar 

  30. Sony Pictures Entertainment, Sony Corporation, Sagar, M., Remington, S.: System and method for tracking facial muscle and eye motion for computer graphics animation, Patent US., International Publication Number WO/2006/039497 A2, April 13 (2006)

    Google Scholar 

  31. Thakor, N.V.: Biopotentials and Electrophysiology Measurement. In: Webster, J.G. (ed.) The Measurement, Instrumentation, and Sensors Handbook, vol. 74, CRC Press (1999) ISBN 0849383471

    Google Scholar 

  32. Usakli, A.B., Gurkan, S., Aloise, F., Vecchiato, G., Babiloni, F.: On the Use of Electrooculogram for Efficient Human Computer Interfaces. Computational Intelligence and Neuroscience 2010, Article ID 135629, 5 pages (2010), doi: 10.1155/2010/135629, ISSN 1687–5273

    Google Scholar 

  33. Warner Brothers: E.O.G Beowulf DVD 2’nd disc, Warner Brothers (2008)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Signal Processing and Multimedia Engineering, West Pomeranian University of Technology, Szczecin, 26 Kwietnia 10, 71–126, Szczecin, Poland

    Robert Krupiński & Przemysław Mazurek

Authors
  1. Robert Krupiński
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  2. Przemysław Mazurek
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Editor information

Editors and Affiliations

  1. Polish-Japanese Institute of Information Technology, 86 Koszykowa, 02-008, Warsaw, Poland

    Leonard Bolc

  2. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  3. Faculty of Applied Informatics and Mathematics, Department of Informatics, Warsaw University of Life Sciences (SGGW), Nowoursynowska 159, 02-776, Warsaw, Poland

    Leszek J. Chmielewski

  4. Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008, Warszawa, Poland

    Konrad Wojciechowski

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Krupiński, R., Mazurek, P. (2012). Estimation of Electrooculography and Blinking Signals Based on Filter Banks. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2012. Lecture Notes in Computer Science, vol 7594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33564-8_19

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  • DOI: https://doi.org/10.1007/978-3-642-33564-8_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33563-1

  • Online ISBN: 978-3-642-33564-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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