Measuring the Impact on Human Emotion When Listening and Reciting the Quran using AI/Machine Learning Techniques


  • Nur Asyiqin Hamzah Multimedia University
  • Hadhrami Ab Ghanni Universiti Malaysia Kelantan
  • Azlan Abd Aziz Multimedia University
  • Nur Hasanah Ali Multimedia University
  • Noor Zielah Abd Rahman Multimedia University


brain waves, EEG, emotion, machine learning, Quran listening, Quran reciting


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.


Mahjoob, M., Nejati, J., Hosseini, A., & Bakhshani, N. M. (2016). The effect of Holy Quran voice on mental health. Journal of religion and health, 55(1), 38-42.

Kimiaee, S. A., Khademian, H., & Farhadi, H. (2012). Quran memorization and its effect on the elements of mental health.

Zulkurnaini, N. A., Kadir, R. S. S. A., Murat, Z. H., & Isa, R. M. (2012, February). The comparison between listening to Al-Quran and listening to classical music on the brainwave signal for the alpha band. In 2012 Third International Conference on Intelligent Systems Modelling and Simulation (pp. 181-186). IEEE.

Fattouh, A., Albidewi, I., & Baterfi, B. (2016, March). EEG-based emotion recognition of Quran listeners. In 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 1338-1342). IEEE.

Al-Galal, S. A. Y., Alshaikhli, I. F. T., bin Abdul Rahman, A. W., & Dzulkifli, M. A. (2015, December). 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 (ACSAT) (pp. 245-250). IEEE.

Alshaikhli, I. F. T., Yahya, S. A., Pammusu, I., & Alarabi, K. F. (2014, November). A study on the effects of EEG and ECG signals while listening to Qur'an recitation. In The 5th International Conference on Information and Communication Technology for The Muslim World (ICT4M) (pp. 1-6). IEEE.

Vega, C. F., & Noel, J. (2015, June). Parameters analyzed of Higuchi's fractal dimension for EEG brain signals. In 2015 Signal Processing Symposium (SPSympo)(pp. 1-5). IEEE.

Takahashi, T., Murata, T., Hamada, T., Omori, M., Kosaka, H., Kikuchi, M., & Wada, Y. (2005). Changes in EEG and autonomic nervous activity during meditation and their association with personality traits. International Journal of Psychophysiology, 55(2), 199-207.

Bhattacharya, J., & Petsche, H. (2001). Universality in the brain while listening to music. Proceedings of the Royal Society of London. Series B: Biological Sciences, 268(1484), 2423-2433.

Kamal, N. F., Mahmood, N. H., & Zakaria, N. A. (2013). Modeling brain activities during reading working memory task: Comparison between reciting Quran and reading book. Procedia-Social and Behavioral Sciences, 97, 83-89.

Alhouseini, A. M. A., Al-Shaikhli, I. F., bin Abdul Rahman, A. W., Alarabi, K., & Dzulkifli, M. A. (2014, December). Stress assessment while listening to Quran recitation. In 2014 International Conference on Computer Assisted System in Health (pp. 67-72). IEEE.

Baadel, S., Lu, J. (2019). Data Analytics: Intelligent Anti-phishing teachniques based on Machine Learning. Journal of Information and Knowledge Management. 18(01), 1950005. DOI:




How to Cite

Hamzah, N. A., Ab Ghanni, H., Abd Aziz, A., Ali, N. H., & Abd Rahman, N. Z. (2022). Measuring the Impact on Human Emotion When Listening and Reciting the Quran using AI/Machine Learning Techniques. International Journal of Management and Data Analytics, 2(1), 8–13. Retrieved from



Regular Paper