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...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2016
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| Subjects: | |
| Online Access: | 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 http://irep.iium.edu.my/56058/ http://ieeexplore.ieee.org/document/7814915/ |
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| Summary: | 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. |
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