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

  • Robert Krupiński
  • Przemysław Mazurek
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6179)


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.


Biomeasurements Biosignals Electrooculography 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Robert Krupiński
    • 1
  • Przemysław Mazurek
    • 1
  1. 1.Department of Signal Processing and Multimedia EngineeringWest–Pomeranian University of Technology, SzczecinSzczecinPoland

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