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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The Institute of Electrical and Electronics Engineers, Inc.
2016
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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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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 |
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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 |
_version_ |
1777411321268011008 |