Measuring the Impact on Human Emotion When Listening and Reciting the Quran using AI/Machine Learning Techniques
The aim of this study is to investigate how the brain responds to the activity of listening and reciting the Quran. The electroencephalogram (EEG) signals will be utilized as a means to evoke human emotions. The data will be acquired from several participants (subjects) by placing nineteen surface...
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| Format: | Article |
| Language: | English |
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IJMADA
2022-10-01
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| Series: | International Journal of Management and Data Analytics |
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| Online Access: | https://ijmada.com/index.php/ijmada/article/view/10 |
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| author | Nur Asyiqin Hamzah Hadhrami Ab Ghanni Azlan Abd Aziz Nur Hasanah Ali Noor Zielah Abd Rahman |
| author_facet | Nur Asyiqin Hamzah Hadhrami Ab Ghanni Azlan Abd Aziz Nur Hasanah Ali Noor Zielah Abd Rahman |
| author_sort | Nur Asyiqin Hamzah |
| collection | DOAJ |
| description | The aim of this study is to investigate how the brain responds to the activity of listening and reciting the Quran. The electroencephalogram (EEG) signals will be utilized as a means to evoke human emotions. The data will be acquired from several participants (subjects) by placing nineteen surface electrodes on the scalp according to the international 10-20 system. The efficacy of the Quran therapy is proposed to be investigated to determine the effect on the brain. There are similar studies conducted and accomplished about 75-89%. As a result, they found that surah Al-Hasyr may help in improving a person’s stress level with beta band dominance to increase their alpha band by increasing balance between both brain hemispheres. However, the result did not suggest that surah Al-Mulk produced a lesser impact since almost all subjects who listened to the surah during the experiment were familiar with the surah and indirectly became less focused on their own recitation. Perhaps, if they paid full attention to the recitation activity, the result could be different. It is also observed that most of the previous work done used a limited number of testing subjects (people who recite/listen to the Quran). Therefore, our empirical study proposed a larger number of testing subjects so that the results would represent more concrete scientific evidence. Our results can be used to draw a conclusion on whether the Quran recitation can be one of the trusted emotional therapy. This can be beneficial to the community, religious institutions, the government, and other stakeholders. |
| format | Article |
| id | doaj-art-11a703b4c90f418492dccaafdfeafa3b |
| institution | Kabale University |
| issn | 2816-9395 |
| language | English |
| publishDate | 2022-10-01 |
| publisher | IJMADA |
| record_format | Article |
| series | International Journal of Management and Data Analytics |
| spelling | doaj-art-11a703b4c90f418492dccaafdfeafa3b2025-01-20T15:45:31ZengIJMADAInternational Journal of Management and Data Analytics2816-93952022-10-0181310.5281/zenodo.1152751210Measuring the Impact on Human Emotion When Listening and Reciting the Quran using AI/Machine Learning TechniquesNur Asyiqin Hamzah0Hadhrami Ab Ghanni1Azlan Abd Aziz2Nur Hasanah Ali3Noor Zielah Abd Rahman4Multimedia UniversityUniversiti Malaysia KelantanMultimedia UniversityMultimedia UniversityMultimedia UniversityThe aim of this study is to investigate how the brain responds to the activity of listening and reciting the Quran. The electroencephalogram (EEG) signals will be utilized as a means to evoke human emotions. The data will be acquired from several participants (subjects) by placing nineteen surface electrodes on the scalp according to the international 10-20 system. The efficacy of the Quran therapy is proposed to be investigated to determine the effect on the brain. There are similar studies conducted and accomplished about 75-89%. As a result, they found that surah Al-Hasyr may help in improving a person’s stress level with beta band dominance to increase their alpha band by increasing balance between both brain hemispheres. However, the result did not suggest that surah Al-Mulk produced a lesser impact since almost all subjects who listened to the surah during the experiment were familiar with the surah and indirectly became less focused on their own recitation. Perhaps, if they paid full attention to the recitation activity, the result could be different. It is also observed that most of the previous work done used a limited number of testing subjects (people who recite/listen to the Quran). Therefore, our empirical study proposed a larger number of testing subjects so that the results would represent more concrete scientific evidence. Our results can be used to draw a conclusion on whether the Quran recitation can be one of the trusted emotional therapy. This can be beneficial to the community, religious institutions, the government, and other stakeholders.https://ijmada.com/index.php/ijmada/article/view/10brain waveseegemotionmachine learningquran listeningquran reciting |
| spellingShingle | Nur Asyiqin Hamzah Hadhrami Ab Ghanni Azlan Abd Aziz Nur Hasanah Ali Noor Zielah Abd Rahman Measuring the Impact on Human Emotion When Listening and Reciting the Quran using AI/Machine Learning Techniques International Journal of Management and Data Analytics brain waves eeg emotion machine learning quran listening quran reciting |
| title | Measuring the Impact on Human Emotion When Listening and Reciting the Quran using AI/Machine Learning Techniques |
| title_full | Measuring the Impact on Human Emotion When Listening and Reciting the Quran using AI/Machine Learning Techniques |
| title_fullStr | Measuring the Impact on Human Emotion When Listening and Reciting the Quran using AI/Machine Learning Techniques |
| title_full_unstemmed | Measuring the Impact on Human Emotion When Listening and Reciting the Quran using AI/Machine Learning Techniques |
| title_short | Measuring the Impact on Human Emotion When Listening and Reciting the Quran using AI/Machine Learning Techniques |
| title_sort | measuring the impact on human emotion when listening and reciting the quran using ai machine learning techniques |
| topic | brain waves eeg emotion machine learning quran listening quran reciting |
| url | https://ijmada.com/index.php/ijmada/article/view/10 |
| work_keys_str_mv | AT nurasyiqinhamzah measuringtheimpactonhumanemotionwhenlisteningandrecitingthequranusingaimachinelearningtechniques AT hadhramiabghanni measuringtheimpactonhumanemotionwhenlisteningandrecitingthequranusingaimachinelearningtechniques AT azlanabdaziz measuringtheimpactonhumanemotionwhenlisteningandrecitingthequranusingaimachinelearningtechniques AT nurhasanahali measuringtheimpactonhumanemotionwhenlisteningandrecitingthequranusingaimachinelearningtechniques AT noorzielahabdrahman measuringtheimpactonhumanemotionwhenlisteningandrecitingthequranusingaimachinelearningtechniques |