Differentiation of pupillary signals using statistical and functional analysis

Emotion recognition nowadays plays vital role in human-computer reaction. Different approaches and methods were applied to recognize accurately individual's emotions. However, pupil diameter (PD) is one of the well-known and reliable approaches in identifying emotions. It is controlled by Autom...

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Main Authors: Babiker, A., Faye, I., Malik, A.
Format: Conference or Workshop Item
Published: IEEE Computer Society 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906346407&doi=10.1109%2fICIAS.2014.6869498&partnerID=40&md5=0fe82598380bd1b6e098f3a188a4cc7e
http://eprints.utp.edu.my/32116/
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spelling my.utp.eprints.321162022-03-29T04:34:59Z Differentiation of pupillary signals using statistical and functional analysis Babiker, A. Faye, I. Malik, A. Emotion recognition nowadays plays vital role in human-computer reaction. Different approaches and methods were applied to recognize accurately individual's emotions. However, pupil diameter (PD) is one of the well-known and reliable approaches in identifying emotions. It is controlled by Automatic Nervous System (ANS) and is easy to detect. The goal of this paper is to identify the difference in PD due to individual's positive and negative emotional states. The paper introduces an experiment conducted to measure dilation in pupil diameter using eye-tracking system during positive and negative emotions. Thirty participants were involved in this experiment and the initial results suggested differences in pupil dilation during negative and positive stimulation at the last seconds of a played sound. It shows more sustained, stable and longer dilation in high arousal negative stimuli. It also discussed functional analysis that is proven to be a useful tool in expressing pupil dilation differences. © 2014 IEEE. IEEE Computer Society 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906346407&doi=10.1109%2fICIAS.2014.6869498&partnerID=40&md5=0fe82598380bd1b6e098f3a188a4cc7e Babiker, A. and Faye, I. and Malik, A. (2014) Differentiation of pupillary signals using statistical and functional analysis. In: UNSPECIFIED. http://eprints.utp.edu.my/32116/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Emotion recognition nowadays plays vital role in human-computer reaction. Different approaches and methods were applied to recognize accurately individual's emotions. However, pupil diameter (PD) is one of the well-known and reliable approaches in identifying emotions. It is controlled by Automatic Nervous System (ANS) and is easy to detect. The goal of this paper is to identify the difference in PD due to individual's positive and negative emotional states. The paper introduces an experiment conducted to measure dilation in pupil diameter using eye-tracking system during positive and negative emotions. Thirty participants were involved in this experiment and the initial results suggested differences in pupil dilation during negative and positive stimulation at the last seconds of a played sound. It shows more sustained, stable and longer dilation in high arousal negative stimuli. It also discussed functional analysis that is proven to be a useful tool in expressing pupil dilation differences. © 2014 IEEE.
format Conference or Workshop Item
author Babiker, A.
Faye, I.
Malik, A.
spellingShingle Babiker, A.
Faye, I.
Malik, A.
Differentiation of pupillary signals using statistical and functional analysis
author_facet Babiker, A.
Faye, I.
Malik, A.
author_sort Babiker, A.
title Differentiation of pupillary signals using statistical and functional analysis
title_short Differentiation of pupillary signals using statistical and functional analysis
title_full Differentiation of pupillary signals using statistical and functional analysis
title_fullStr Differentiation of pupillary signals using statistical and functional analysis
title_full_unstemmed Differentiation of pupillary signals using statistical and functional analysis
title_sort differentiation of pupillary signals using statistical and functional analysis
publisher IEEE Computer Society
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906346407&doi=10.1109%2fICIAS.2014.6869498&partnerID=40&md5=0fe82598380bd1b6e098f3a188a4cc7e
http://eprints.utp.edu.my/32116/
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score 13.160551