Significant interest from numerous disciplines has been attracted through emotion modelling and identification. Quantifying physiological signals still remain as one of the less-investigated aspects although many qualitative studies have been carried out on emotion. Thus, this study is done to examine various human emotions shown by subjects while listening to recitations of Quranic verses. The brain activities for four groups; one group of Muslim participants who understand the language of Al-Quran while the other group doesn’t, one group of non-Muslims who understand the language of Al-Quran while the other group doesn’t respectively is also analyzed. EEG device is used to record the brain waves while listening to Quran recitations. MFCC and KDE are used as the feature extraction to extract the features from EEG signals. Multilayer Perceptron (MLP) is used for the classification. The emotions determined from listening to Quran recitation will help to provide more information to the medical field to treat both Muslims and non-Muslims stress or depressed patients.
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In-Text Citation: (Jasim et al., 2019)
To Cite this Article: Jasim, M. H., Salih, M. M., Abdulwahhab, Z. T., Shouwandy, M. L., Ahmed, M. A., & ALsalem, M. A. (2019). Emotion Detection among Muslims and Non- Muslims While Listening To Quran Recitation Using EEG. International Journal of Academic Research in Business and Social Sciences, 9(14), 10–16.
Copyright: © 2019 The Author(s)
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