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Towards to Real–Time System with Optimization Based Approach for EOG and Blinking Signals Separation for Human Computer Interaction

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Computers Helping People with Special Needs (ICCHP 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6179))

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Abstract

Electrooculography (EOG) systems could be used for Human Computer Interaction but measurements with minimal number of electrodes and appropriate signals processing algorithms for the separation of EOG and blinking signals are required. Median filter with a carefully selected mask size could be used for the initialization of the evolution–based algorithm, which is used for the estimation and separation of EOG and blinking signals.

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Krupiński, R., Mazurek, P. (2010). 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) Computers Helping People with Special Needs. ICCHP 2010. Lecture Notes in Computer Science, vol 6179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14097-6_26

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  • DOI: https://doi.org/10.1007/978-3-642-14097-6_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14096-9

  • Online ISBN: 978-3-642-14097-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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