Optimization-Based Technique for Separation and Detection of Saccadic Movements and Eye-Blinking in Electrooculography Biosignals

Part of the Advances in Experimental Medicine and Biology book series (AEMB, volume 696)


Electrooculography (EOG) gives the possibility of eye tracking using biosignal measurements. Typical EOG signal consists of rapid value changes (saccades) separated by almost constant values. Additionally, the pulse shape from eyelid blinking is observed. The separation of them is possible using numerous methods, like median filtering. The proposed optimization method based on a model fitting using the variable number of parameters gives the possibility of features localization even for nearby saccades and blinking pulses.


Mean Square Error Median Filter Smooth Pursuit Random Generator Saccadic Movement 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This work is supported by the UE EFRR ZPORR project Z/2.32/I/1.3.1/ 267/05 “Szczecin University of Technology – Research and Education Center of Modern Multimedia Technologies” (Poland).


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© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Department of Signal Processing and Multimedia EngineeringWest Pomeranian University of Technology in SzczecinSzczecinPoland

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