Are you ashamed? Can a gaze tracker tell?

Our aim was to determine the possibility of detecting cognitive emotion information (neutral, disgust, shameful, “sensory pleasure”) by using a remote eye tracker within an approximate range of 1 meter. Our implementation was based on a self-learning ANN used for profile building, emotion status ide...

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Bibliographic Details
Main Authors: Rytis Maskeliunas, Vidas Raudonis
Format: Article
Language:English
Published: PeerJ Inc. 2016-08-01
Series:PeerJ Computer Science
Subjects:
Online Access:https://peerj.com/articles/cs-75.pdf
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spelling doaj-a9124b6dc6df4988b38beabf2b8ce4df2020-11-25T00:37:19ZengPeerJ Inc.PeerJ Computer Science2376-59922016-08-012e7510.7717/peerj-cs.75Are you ashamed? Can a gaze tracker tell?Rytis Maskeliunas0Vidas Raudonis1Department of Multimedia Engineering, Faculty of Informatics, Kaunas University of Technology, Kaunas, LithuaniaDepartment of Automation, Faculty of Electrical and Electronics Engineering, Kaunas University of Technology, Kaunas, LithuaniaOur aim was to determine the possibility of detecting cognitive emotion information (neutral, disgust, shameful, “sensory pleasure”) by using a remote eye tracker within an approximate range of 1 meter. Our implementation was based on a self-learning ANN used for profile building, emotion status identification and recognition. Participants of the experiment were provoked with audiovisual stimuli (videos with sounds) to measure the emotional feedback. The proposed system was able to classify each felt emotion with an average of 90% accuracy (2 second measuring interval).https://peerj.com/articles/cs-75.pdfCognitiveRecognitionEmotionsGaze-tracking
collection DOAJ
language English
format Article
sources DOAJ
author Rytis Maskeliunas
Vidas Raudonis
spellingShingle Rytis Maskeliunas
Vidas Raudonis
Are you ashamed? Can a gaze tracker tell?
PeerJ Computer Science
Cognitive
Recognition
Emotions
Gaze-tracking
author_facet Rytis Maskeliunas
Vidas Raudonis
author_sort Rytis Maskeliunas
title Are you ashamed? Can a gaze tracker tell?
title_short Are you ashamed? Can a gaze tracker tell?
title_full Are you ashamed? Can a gaze tracker tell?
title_fullStr Are you ashamed? Can a gaze tracker tell?
title_full_unstemmed Are you ashamed? Can a gaze tracker tell?
title_sort are you ashamed? can a gaze tracker tell?
publisher PeerJ Inc.
series PeerJ Computer Science
issn 2376-5992
publishDate 2016-08-01
description Our aim was to determine the possibility of detecting cognitive emotion information (neutral, disgust, shameful, “sensory pleasure”) by using a remote eye tracker within an approximate range of 1 meter. Our implementation was based on a self-learning ANN used for profile building, emotion status identification and recognition. Participants of the experiment were provoked with audiovisual stimuli (videos with sounds) to measure the emotional feedback. The proposed system was able to classify each felt emotion with an average of 90% accuracy (2 second measuring interval).
topic Cognitive
Recognition
Emotions
Gaze-tracking
url https://peerj.com/articles/cs-75.pdf
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