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An approach to the EOG signal segmentation based on fuzzy reasoning

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

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 languageEnglish
Title of host publication2008 Conference on Human System Interaction, HSI 2008
Pages710-713
Number of pages4
DOIs
Publication statusPublished - 2008
Event2008 Conference on Human System Interaction, HSI 2008 - Krakow, Poland
Duration: 25 May 200827 May 2008

Publication series

Name2008 Conference on Human System Interaction, HSI 2008

Conference

Conference2008 Conference on Human System Interaction, HSI 2008
Country/TerritoryPoland
CityKrakow
Period25/05/0827/05/08

Keywords

  • EOG signal
  • Fuzzy clustering
  • Fuzzy reasoning
  • Signal segmentation

ASJC Scopus subject areas

  • Human-Computer Interaction

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