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Neural Networks for Emotion Recognition Based on Eye Tracking Data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86099096" target="_blank" >RIV/61989100:27240/15:86099096 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/document/7379592/" target="_blank" >http://ieeexplore.ieee.org/document/7379592/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/SMC.2015.460" target="_blank" >10.1109/SMC.2015.460</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Neural Networks for Emotion Recognition Based on Eye Tracking Data

  • Original language description

    We present an approach for emotion recognition using information of the pupil. In last years, the pupil variables have been used as an assessment of emotional arousal. In this article, we generate signals of pupil size and gaze position monitored during image viewing. The emotions are provoked by visual stimuli of colored images. Those images were taken from the International Affective Picture System which has been the reference for objective emotional assessment based on visual stimuli. For recognising the emotions we use the evolution of the eye tracking data during a window of time. The learning dataset is composed by the evolution of the pupil size and the gaze position, and labels associated to the emotional states. We study two kinds of learning tools based on Neural Networks. We obtain promising empirical results that show the potential of using temporal learning tools for emotion recognition. (C) 2015 IEEE.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    IEEE International conference on systems, man, and cybernetics, SMC 2015 : proceedings

  • ISBN

    978-1-4799-8697-2

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    2632-2637

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Los Alamitos

  • Event location

    Hongkong

  • Event date

    Oct 9, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000368940202126