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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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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
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e-ISSN
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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