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The Emotional States Classification based on the EEG

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00166169" target="_blank" >RIV/68407700:21230/10:00166169 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Emotional States Classification based on the EEG

  • Original language description

    In this paper we describe a method for the classification of EEG signal based on machine learning methods. We analyzed the data from an EEG experiment consisting of affective picture stimuli presentation, and tested automatic recognition of the individual emotional states from the EEG signal using Bayes classifier. We also identified correlation between the classification error and the extroversion-introversion personality trait measured by EPQ-R test.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/1ET101210512" target="_blank" >1ET101210512: Intelligent methods for evaluation of long-term EEG recordings</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Workshop 2010

  • ISBN

    978-80-01-04513-8

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

  • Publisher name

    České vysoké učení technické v Praze

  • Place of publication

    Praha

  • Event location

    Praha

  • Event date

    Feb 22, 2010

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article