Title :
An approach to the EOG signal segmentation based on fuzzy reasoning
Author :
Tomasz Przybyla;Tomasz Pander;Robert Czabanski
Author_Institution :
Division of Biomedical Electronics, Silesian University of Technology, Gliwice, Poland
Abstract :
In this paper we presented an approach to segmentation of an electrooculography (EOG) signal. For segmentation we have used the elements of the fuzzy set theory. Results obtained in our numerical experiments show usefulness of proposed approach. Our method can be also used for the generating of a learning set necessary for the neural networks or the fuzzy-neural systems training.
Keywords :
"Electrooculography","Estimation","Object segmentation","Prototypes","Clustering methods","Electric potential","Artificial neural networks"
Conference_Titel :
Human System Interactions, 2008 Conference on
Print_ISBN :
978-1-4244-1542-7
Electronic_ISBN :
2158-2254
DOI :
10.1109/HSI.2008.4581528
