Study of emotional variability using photoplethysmogram signal

This study investigates the feasibility of photoplethysmogram (PPG) signals in recognizing variability in human’s funny, fear and sad emotions. Undoubtedly, Easy Pulse data acquisition device which is used to perceive the PPG signals have superior criterions which are small in size, low power consum...

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Main Authors:	Sidek, Khairul Azami, Abd Halim, Noor Hafizah Azlin, Abdullah Din, Ummi Nur Kamilah, Ismail, Ahmad Fadzil
Format:	Article
Language:	English English
Published:	Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM) 2018
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/63336/ http://irep.iium.edu.my/63336/ http://irep.iium.edu.my/63336/7/63336%20Study%20of%20emotional%20variability%20using%20photoplethysmogram%20signal%20SCOPUS.pdf http://irep.iium.edu.my/63336/13/63336_Study%20of%20emotional%20variability%20using%20photoplethysmogram%20signal_article.pdf

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spelling	iium-633362018-08-09T04:19:11Z http://irep.iium.edu.my/63336/ Study of emotional variability using photoplethysmogram signal Sidek, Khairul Azami Abd Halim, Noor Hafizah Azlin Abdullah Din, Ummi Nur Kamilah Ismail, Ahmad Fadzil TK7885 Computer engineering This study investigates the feasibility of photoplethysmogram (PPG) signals in recognizing variability in human’s funny, fear and sad emotions. Undoubtedly, Easy Pulse data acquisition device which is used to perceive the PPG signals have superior criterions which are small in size, low power consumption as well as low in cost. Thus, this study will prove the robustness and reliability of PPG signals as an emotion recognition mechanism. A total of ten subjects were chosen randomly which ranged from twenty-one to twenty-four years old. A total of five male and five female students were given three different videos to stimulate different emotions during the given time. Easy Pulse sensor, which has the ability in filtering the unwanted signals has made the study easier. Discriminative features are then extracted from the PPG morphology. PPI, maximum amplitude, as well as the Cardioid pattern of the signals. Finally, four methods of classification have been used to identify the variability in emotions. PPI, maximum amplitude, area and maximum radius of the Cardioid loop were used as the classifiers. These methods have clearly shown great results in differentiating between funny, fear and sad emotions. It was discovered that every human has different rate of sensitivity to fear and sad. Some have the tendency to be very sensitive to fear and some to sad. The experimental results demonstrated that the physiological signals such as PPG have great potentials where the system provides high classification performance. Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM) 2018 Article PeerReviewed application/pdf en http://irep.iium.edu.my/63336/7/63336%20Study%20of%20emotional%20variability%20using%20photoplethysmogram%20signal%20SCOPUS.pdf application/pdf en http://irep.iium.edu.my/63336/13/63336_Study%20of%20emotional%20variability%20using%20photoplethysmogram%20signal_article.pdf Sidek, Khairul Azami and Abd Halim, Noor Hafizah Azlin and Abdullah Din, Ummi Nur Kamilah and Ismail, Ahmad Fadzil (2018) Study of emotional variability using photoplethysmogram signal. Journal of Telecommunication, Electronic and Computer Engineering, 10 (1-6). pp. 1-6. ISSN 2180-1843 E-ISSN 2289-8131 http://journal.utem.edu.my/index.php/jtec/article/view/3653/2539
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK7885 Computer engineering
spellingShingle	TK7885 Computer engineering Sidek, Khairul Azami Abd Halim, Noor Hafizah Azlin Abdullah Din, Ummi Nur Kamilah Ismail, Ahmad Fadzil Study of emotional variability using photoplethysmogram signal
description	This study investigates the feasibility of photoplethysmogram (PPG) signals in recognizing variability in human’s funny, fear and sad emotions. Undoubtedly, Easy Pulse data acquisition device which is used to perceive the PPG signals have superior criterions which are small in size, low power consumption as well as low in cost. Thus, this study will prove the robustness and reliability of PPG signals as an emotion recognition mechanism. A total of ten subjects were chosen randomly which ranged from twenty-one to twenty-four years old. A total of five male and five female students were given three different videos to stimulate different emotions during the given time. Easy Pulse sensor, which has the ability in filtering the unwanted signals has made the study easier. Discriminative features are then extracted from the PPG morphology. PPI, maximum amplitude, as well as the Cardioid pattern of the signals. Finally, four methods of classification have been used to identify the variability in emotions. PPI, maximum amplitude, area and maximum radius of the Cardioid loop were used as the classifiers. These methods have clearly shown great results in differentiating between funny, fear and sad emotions. It was discovered that every human has different rate of sensitivity to fear and sad. Some have the tendency to be very sensitive to fear and some to sad. The experimental results demonstrated that the physiological signals such as PPG have great potentials where the system provides high classification performance.
format	Article
author	Sidek, Khairul Azami Abd Halim, Noor Hafizah Azlin Abdullah Din, Ummi Nur Kamilah Ismail, Ahmad Fadzil
author_facet	Sidek, Khairul Azami Abd Halim, Noor Hafizah Azlin Abdullah Din, Ummi Nur Kamilah Ismail, Ahmad Fadzil
author_sort	Sidek, Khairul Azami
title	Study of emotional variability using photoplethysmogram signal
title_short	Study of emotional variability using photoplethysmogram signal
title_full	Study of emotional variability using photoplethysmogram signal
title_fullStr	Study of emotional variability using photoplethysmogram signal
title_full_unstemmed	Study of emotional variability using photoplethysmogram signal
title_sort	study of emotional variability using photoplethysmogram signal
publisher	Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM)
publishDate	2018
url	http://irep.iium.edu.my/63336/ http://irep.iium.edu.my/63336/ http://irep.iium.edu.my/63336/7/63336%20Study%20of%20emotional%20variability%20using%20photoplethysmogram%20signal%20SCOPUS.pdf http://irep.iium.edu.my/63336/13/63336_Study%20of%20emotional%20variability%20using%20photoplethysmogram%20signal_article.pdf
first_indexed	2023-09-18T21:29:50Z
last_indexed	2023-09-18T21:29:50Z
_version_	1777412436357283840

Study of emotional variability using photoplethysmogram signal

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