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: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
The Institute of Electrical and Electronics Engineers, Inc.
2016
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/50947/1/50947.pdf http://irep.iium.edu.my/50947/4/50947_EEG-based%20emotion_scopus.pdf http://irep.iium.edu.my/50947/ http://ieeexplore.ieee.org/search/searchresult.jsp?queryText=acsat%202015&searchWithin=table%20of%20content&newsearch=true |
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| Summary: | 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. |
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