Automatic emotion recognition based on EEG and ECG signals while listening to quranic recitation compared with listening to music

Relaxation and calmness are two emotions that people continually seek. One popular method people frequently use to reduce their tension and pressure levels is listening to various types of relaxing music. However, the Quran is composed of Allah’s words, which were ultimately given for the benefi...

Full description

Bibliographic Details
Main Authors:	Ahmed Yahya Al-Galal, Sabaa, Taha Alshaikhli, Imad Fakhri, Abdul Rahman, Abdul Wahab
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2016
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/56058/ http://irep.iium.edu.my/56058/ http://irep.iium.edu.my/56058/ http://irep.iium.edu.my/56058/1/56058-updated.pdf http://irep.iium.edu.my/56058/2/56058-Automatic%20emotion%20recognition%20based%20on%20EEG%20and%20ECG%20signals%20while%20listening%20to%20quranic%20recitation%20compared%20with%20listening%20to%20music_SCOPUS.pdf

id	iium-56058
recordtype	eprints
spelling	iium-560582017-05-12T07:59:26Z http://irep.iium.edu.my/56058/ Automatic emotion recognition based on EEG and ECG signals while listening to quranic recitation compared with listening to music Ahmed Yahya Al-Galal, Sabaa Taha Alshaikhli, Imad Fakhri Abdul Rahman, Abdul Wahab T Technology (General) Relaxation and calmness are two emotions that people continually seek. One popular method people frequently use to reduce their tension and pressure levels is listening to various types of relaxing music. However, the Quran is composed of Allah’s words, which were ultimately given for the benefit of humanity. Muslims strongly believe that listening to or reading the Quran brings them comfort, pleasure and confidence that would otherwise elude them; however, scientific evidence is still required to prove that this belief has a scientific basis. Recently, researchers have used electrophysiology to explore the relationships between electrical phenomena and body processes. This research aims to study and analyse the electrical activity of people's brains and hearts when listening to Quranic recitation compared with listening to relaxing music. Two types of electrophysiology readings are used in this research: electroencephalograms (EEGs) and electrocardiograms (ECGs). An EEG measures brain electrical activity, and an ECG measures heart electrical activity. EEG and ECG data were collected from twenty-five subjects. Then, machine learning algorithms were applied to the EEG and ECG signals. The result showed that Quranic recitation demonstrated a positive transformation of the subjects' emotions: from negative precursor emotions to calmness and happiness conditions denoted by a positive valence for the EEG and ECG signals. In contrast, relaxing music showed a positive transformation with regard to the valence in the EEG analysis; however, with respect to the ECG music data analysis, the results revealed a negative transformation for most of the music tracks. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/56058/1/56058-updated.pdf application/pdf en http://irep.iium.edu.my/56058/2/56058-Automatic%20emotion%20recognition%20based%20on%20EEG%20and%20ECG%20signals%20while%20listening%20to%20quranic%20recitation%20compared%20with%20listening%20to%20music_SCOPUS.pdf Ahmed Yahya Al-Galal, Sabaa and Taha Alshaikhli, Imad Fakhri and Abdul Rahman, Abdul Wahab (2016) Automatic emotion recognition based on EEG and ECG signals while listening to quranic recitation compared with listening to music. In: 6th International Conference on Information and Communication Technology for the Muslim World (ICT4M 2016), 22nd-24th November 2016, Jakarta, Indonesia. http://ieeexplore.ieee.org/document/7814915/ 10.1109/ICT4M.2016.062
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T Technology (General)
spellingShingle	T Technology (General) Ahmed Yahya Al-Galal, Sabaa Taha Alshaikhli, Imad Fakhri Abdul Rahman, Abdul Wahab Automatic emotion recognition based on EEG and ECG signals while listening to quranic recitation compared with listening to music
description	Relaxation and calmness are two emotions that people continually seek. One popular method people frequently use to reduce their tension and pressure levels is listening to various types of relaxing music. However, the Quran is composed of Allah’s words, which were ultimately given for the benefit of humanity. Muslims strongly believe that listening to or reading the Quran brings them comfort, pleasure and confidence that would otherwise elude them; however, scientific evidence is still required to prove that this belief has a scientific basis. Recently, researchers have used electrophysiology to explore the relationships between electrical phenomena and body processes. This research aims to study and analyse the electrical activity of people's brains and hearts when listening to Quranic recitation compared with listening to relaxing music. Two types of electrophysiology readings are used in this research: electroencephalograms (EEGs) and electrocardiograms (ECGs). An EEG measures brain electrical activity, and an ECG measures heart electrical activity. EEG and ECG data were collected from twenty-five subjects. Then, machine learning algorithms were applied to the EEG and ECG signals. The result showed that Quranic recitation demonstrated a positive transformation of the subjects' emotions: from negative precursor emotions to calmness and happiness conditions denoted by a positive valence for the EEG and ECG signals. In contrast, relaxing music showed a positive transformation with regard to the valence in the EEG analysis; however, with respect to the ECG music data analysis, the results revealed a negative transformation for most of the music tracks.
format	Conference or Workshop Item
author	Ahmed Yahya Al-Galal, Sabaa Taha Alshaikhli, Imad Fakhri Abdul Rahman, Abdul Wahab
author_facet	Ahmed Yahya Al-Galal, Sabaa Taha Alshaikhli, Imad Fakhri Abdul Rahman, Abdul Wahab
author_sort	Ahmed Yahya Al-Galal, Sabaa
title	Automatic emotion recognition based on EEG and ECG signals while listening to quranic recitation compared with listening to music
title_short	Automatic emotion recognition based on EEG and ECG signals while listening to quranic recitation compared with listening to music
title_full	Automatic emotion recognition based on EEG and ECG signals while listening to quranic recitation compared with listening to music
title_fullStr	Automatic emotion recognition based on EEG and ECG signals while listening to quranic recitation compared with listening to music
title_full_unstemmed	Automatic emotion recognition based on EEG and ECG signals while listening to quranic recitation compared with listening to music
title_sort	automatic emotion recognition based on eeg and ecg signals while listening to quranic recitation compared with listening to music
publisher	IEEE
publishDate	2016
url	http://irep.iium.edu.my/56058/ http://irep.iium.edu.my/56058/ http://irep.iium.edu.my/56058/ http://irep.iium.edu.my/56058/1/56058-updated.pdf http://irep.iium.edu.my/56058/2/56058-Automatic%20emotion%20recognition%20based%20on%20EEG%20and%20ECG%20signals%20while%20listening%20to%20quranic%20recitation%20compared%20with%20listening%20to%20music_SCOPUS.pdf
first_indexed	2023-09-18T21:19:06Z
last_indexed	2023-09-18T21:19:06Z
_version_	1777411761179197440

Automatic emotion recognition based on EEG and ECG signals while listening to quranic recitation compared with listening to music

Similar Items