EEG-based emotion recognition while listening to Quran recitation compared with relaxing music using Valence-arousal model

Relaxation and calmness are two emotions that people always seek for. One popular method people used to do in order to reduce their level of tension and pressure is listening to some types of relaxing music. On the other hand, Quran is Allah’s words that are ultimately given to us human to bene...

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Main Authors: Al-Galal, Sabaa Ahmed Yahya, Alshaikhli, Imad Fakhri Taha, Abdul Rahman, Abdul Wahab, Dzulkifli, Mariam Adawiah
Format: Conference or Workshop Item
Language:English
English
Published: The Institute of Electrical and Electronics Engineers, Inc. 2016
Subjects:
Online Access:http://irep.iium.edu.my/50947/
http://irep.iium.edu.my/50947/
http://irep.iium.edu.my/50947/
http://irep.iium.edu.my/50947/1/50947.pdf
http://irep.iium.edu.my/50947/4/50947_EEG-based%20emotion_scopus.pdf
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recordtype eprints
spelling iium-509472016-10-14T03:35:30Z http://irep.iium.edu.my/50947/ EEG-based emotion recognition while listening to Quran recitation compared with relaxing music using Valence-arousal model Al-Galal, Sabaa Ahmed Yahya Alshaikhli, Imad Fakhri Taha Abdul Rahman, Abdul Wahab Dzulkifli, Mariam Adawiah QA75 Electronic computers. Computer science Relaxation and calmness are two emotions that people always seek for. One popular method people used to do in order to reduce their level of tension and pressure is listening to some types of relaxing music. On the other hand, Quran is Allah’s words that are ultimately given to us human to benefit of. Although, Muslims are strongly believed that listening to Quran or reading it brings them to comfort, pleasure and confidence. Scientific evidence is still required to prove that scientifically. Human emotion can be recognized from voice, text, facial expression or body language. But those methods are susceptible to change and are not really accurate. Recently, electroencephalograms (EEG) allowed researchers to evoke the inner emotions. This paper aims to study human emotions while listening to Quran recitation compared with listening to relaxing music. To evoke emotions, some stimuli should be used; in this research we implemented International Affective Picture System (IAPS) database. And for the emotion classification technique we followed two-dimensional Arousal- Valence emotion model. Finally the emotion model was implemented to recognize four basic emotions Happy, Fear, Sad and Calm with an average accuracy of 76.81 %. The data collected while listening to Quran and music were tested and the result generally showed that both Quran and Music are classified more into positive valence. The Institute of Electrical and Electronics Engineers, Inc. 2016-05 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/50947/1/50947.pdf application/pdf en http://irep.iium.edu.my/50947/4/50947_EEG-based%20emotion_scopus.pdf Al-Galal, Sabaa Ahmed Yahya and Alshaikhli, Imad Fakhri Taha and Abdul Rahman, Abdul Wahab and Dzulkifli, Mariam Adawiah (2016) EEG-based emotion recognition while listening to Quran recitation compared with relaxing music using Valence-arousal model. In: 2015 4th International Conference on Advanced Computer Science Applications and Technologies, 8th-10th Dec. 2015, Kuala Lumpur. http://ieeexplore.ieee.org/search/searchresult.jsp?queryText=acsat%202015&searchWithin=table%20of%20content&newsearch=true 10.1109/ACSAT.2015.10
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Al-Galal, Sabaa Ahmed Yahya
Alshaikhli, Imad Fakhri Taha
Abdul Rahman, Abdul Wahab
Dzulkifli, Mariam Adawiah
EEG-based emotion recognition while listening to Quran recitation compared with relaxing music using Valence-arousal model
description Relaxation and calmness are two emotions that people always seek for. One popular method people used to do in order to reduce their level of tension and pressure is listening to some types of relaxing music. On the other hand, Quran is Allah’s words that are ultimately given to us human to benefit of. Although, Muslims are strongly believed that listening to Quran or reading it brings them to comfort, pleasure and confidence. Scientific evidence is still required to prove that scientifically. Human emotion can be recognized from voice, text, facial expression or body language. But those methods are susceptible to change and are not really accurate. Recently, electroencephalograms (EEG) allowed researchers to evoke the inner emotions. This paper aims to study human emotions while listening to Quran recitation compared with listening to relaxing music. To evoke emotions, some stimuli should be used; in this research we implemented International Affective Picture System (IAPS) database. And for the emotion classification technique we followed two-dimensional Arousal- Valence emotion model. Finally the emotion model was implemented to recognize four basic emotions Happy, Fear, Sad and Calm with an average accuracy of 76.81 %. The data collected while listening to Quran and music were tested and the result generally showed that both Quran and Music are classified more into positive valence.
format Conference or Workshop Item
author Al-Galal, Sabaa Ahmed Yahya
Alshaikhli, Imad Fakhri Taha
Abdul Rahman, Abdul Wahab
Dzulkifli, Mariam Adawiah
author_facet Al-Galal, Sabaa Ahmed Yahya
Alshaikhli, Imad Fakhri Taha
Abdul Rahman, Abdul Wahab
Dzulkifli, Mariam Adawiah
author_sort Al-Galal, Sabaa Ahmed Yahya
title EEG-based emotion recognition while listening to Quran recitation compared with relaxing music using Valence-arousal model
title_short EEG-based emotion recognition while listening to Quran recitation compared with relaxing music using Valence-arousal model
title_full EEG-based emotion recognition while listening to Quran recitation compared with relaxing music using Valence-arousal model
title_fullStr EEG-based emotion recognition while listening to Quran recitation compared with relaxing music using Valence-arousal model
title_full_unstemmed EEG-based emotion recognition while listening to Quran recitation compared with relaxing music using Valence-arousal model
title_sort eeg-based emotion recognition while listening to quran recitation compared with relaxing music using valence-arousal model
publisher The Institute of Electrical and Electronics Engineers, Inc.
publishDate 2016
url http://irep.iium.edu.my/50947/
http://irep.iium.edu.my/50947/
http://irep.iium.edu.my/50947/
http://irep.iium.edu.my/50947/1/50947.pdf
http://irep.iium.edu.my/50947/4/50947_EEG-based%20emotion_scopus.pdf
first_indexed 2023-09-18T21:12:06Z
last_indexed 2023-09-18T21:12:06Z
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