IIUM Repository

Automatic emotion recognition based on EEG and ECG signals while listening to quranic recitation compared with listening to music

Ahmed Yahya Al-Galal, Sabaa and Taha Alshaikhli, Imad Fakhri and Abdul Rahman, Abdul Wahab (2016) Automatic emotion recognition based on EEG and ECG signals while listening to quranic recitation compared with listening to music. In: 6th International Conference on Information and Communication Technology for the Muslim World (ICT4M 2016), 22nd-24th November 2016, Jakarta, Indonesia.

[img] PDF - Published Version
Restricted to Registered users only

Download (5MB) | Request a copy
[img] PDF (SCOPUS) - Published Version
Restricted to Registered users only

Download (147kB) | Request a copy

Abstract

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.

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 6145/56058
Uncontrolled Keywords: Quran, Music, EEG, ECG.
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology > Department of Computer Science
Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User: Prof Abdul Wahab Abdul Rahman
Date Deposited: 13 Mar 2017 11:28
Last Modified: 12 May 2017 15:59
URI: http://irep.iium.edu.my/id/eprint/56058

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year