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ANALYSIS OF EEG SIGNAL FOR USING IN BIOMETRICAL CLASSIFICATION

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F14%3A43871717" target="_blank" >RIV/70883521:28140/14:43871717 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    ANALYSIS OF EEG SIGNAL FOR USING IN BIOMETRICAL CLASSIFICATION

  • Original language description

    Aim of this article is to clarify the potential use of EEG signal in modern information age. The basic principle of Brain Computer Interface (BCI) lies in the connection of brain waves with output device through some interface. BCI technology representsa communication interface between brain and computer. To sense electric signal from the brain, it is usually used an equipment based on the last results of scientific research on neuro-technology. Communication is provided by wireless transmission through which the signal is transmitted from the equipment to personal computer. Then the signal is analysed, processed and used for finding appropriate classification parameters.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    28th European Conference on Modelling and Simulation

  • ISBN

    978-0-9564944-8-1

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    377-380

  • Publisher name

    ECMS

  • Place of publication

    Nottingham

  • Event location

    Brescia

  • Event date

    May 27, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article