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THE IMPACT OF EMOTIONS ON CHANGES IN THE CORRELATION COEFFICIENT BETWEEN DIGITAL IMAGES OF THE HUMAN FACE

Katarzyna Bobkowska, Artur Janowski, Marek Przyborski, Jakub Szulwic

First published: 2017-06-20https://doi.org/10.5593/sgem2017/21/s07.084View metrics

Abstract

Emotions are an integral part of human life. Different situations in our lives affect changing emotional state. It is believed that human facial expressions is distinctive enough to be a part of analysis that allows for assessment of emotional state. The article describes an innovative research conducted by scientists team. As input data used in movies recorded speed camera at speed of 1,000 frames per second in high definition. Registration of a human face took place during the application of the stimulus causing anger or joy. For an innovative approach to research it consists of several aspects: the use of analysis derived from fluid dynamics (tracking characteristic molecules on the face) and the use of the correlation of the image to detect changes in specific areas of the face. During the study, the method of close range remote sensing and computer vision have been used. The document in particular focused on the analysis of changes correlation coefficients between frames of the film to search for a differences and relationships between the obtained indicators.

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  • CrossRef - Citation Indexes: 2
  • Scopus - Citation Indexes: 4
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Publication details

Title
THE IMPACT OF EMOTIONS ON CHANGES IN THE CORRELATION COEFFICIENT BETWEEN DIGITAL IMAGES OF THE HUMAN FACE
Authors
Katarzyna Bobkowska, Artur Janowski, Marek Przyborski, Jakub Szulwic
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2017
Pages
655-664
SWS Citekey
Bobkowska20177655664
ISSN
1314-2704
ISBN
978-619-7408-01-0
Language
en
Publication type
Conference Paper
Keywords
emotions recognitioncorrelation coefficientexpressions
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Number of times cited according to Crossref: 2

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