An approach to estimation of the angular eye-ball speed based on the EOG signal

Tomasz Przybyła; Tomasz Pander; Robert Czabański; Norbert Henzel

doi:10.1007/978-3-540-68168-7_32

An approach to estimation of the angular eye-ball speed based on the EOG signal

Tomasz Przybyła
, Tomasz Pander
, Robert Czabański
, Norbert Henzel

Department of Cybernetics, Nanotechnology and Data Processing (RAU/RAU10)

Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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.

Original language	English
Title of host publication	Information Technologies in Biomedicine
Editors	Ewa Pietka, Jacek Kawa
Pages	283-290
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-540-68168-7_32
Publication status	Published - 2008

Publication series

Name	Advances in Soft Computing
Volume	47
ISSN (Print)	1615-3871
ISSN (Electronic)	1860-0794

ASJC Scopus subject areas

Computer Science (miscellaneous)
Computational Mechanics
Computer Science Applications

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10.1007/978-3-540-68168-7_32

Cite this

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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.",

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AU - Pander, Tomasz

AU - Czabański, Robert

AU - Henzel, Norbert

PY - 2008

Y1 - 2008

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AB - 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.

UR - https://www.scopus.com/pages/publications/58149183997

U2 - 10.1007/978-3-540-68168-7_32

DO - 10.1007/978-3-540-68168-7_32

M3 - Chapter

AN - SCOPUS:58149183997

SN - 9783540681670

T3 - Advances in Soft Computing

SP - 283

EP - 290

BT - Information Technologies in Biomedicine

A2 - Pietka, Ewa

A2 - Kawa, Jacek

ER -

An approach to estimation of the angular eye-ball speed based on the EOG signal

Abstract

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