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...
| Main Authors: | , , |
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| Format: | Proceeding Paper |
| Language: | English English |
| Published: |
IEEE
2016
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| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848784674777726976 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T16:41:00Z |
| format | Proceeding Paper |
| id | iium-56058 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:41:00Z |
| publishDate | 2016 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-560582020-12-16T17:25:46Z 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 Proceeding Paper 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 |
| 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 |
| title | 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_short | 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 |
| topic | T Technology (General) |
| 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 |