A systematic review for human EEG brain signals based emotion classification, feature extraction, brain condition, group comparison

M Hamada, BB Zaidan, AA Zaidan - Journal of medical systems, 2018 - Springer
The study of electroencephalography (EEG) signals is not a new topic. However, the
analysis of human emotions upon exposure to music considered as important direction …

Stress features identification from EEG signals using EEG Asymmetry & Spectral Centroids techniques

N Sulaiman, MN Taib, SAM Aris… - 2010 IEEE EMBS …, 2010 - ieeexplore.ieee.org
This paper presents EEG Asymmetry and Spectral Centroids techniques in extracting unique
features for human stress. The study involved 51 subjects (27 males and 24 females) for …

Feature extraction of EEG signals and classification using FCM

SAM Aris, MN Taib, S Lias… - 2011 UkSim 13th …, 2011 - ieeexplore.ieee.org
EEG data were collected between two conditions, relax wakefulness (close-eyes) and non-
relax (IQ test). Data segmentation and linear regression model is used to extract the EEG …

[PDF][PDF] Modeling phasmophobia (fear of ghosts) using electroencephalogram'

SI Safie, PZM Khalid, M Aimullah - Indonesian Journal of Electrical …, 2022 - academia.edu
Extreme fears towards ghosts and entities are defined as phasmaphobia. Those diagnosed
with phasmophobia symptoms should control their own fears to avoid phasmaphobia attack …

EEG analysis of frontal hemispheric asymmetry for learning styles

N bin Abdul Rashid, MN Taib, S Lias… - 2011 IEEE Control …, 2011 - ieeexplore.ieee.org
Learning style had become an importance researched subject for understanding how
individual learns. Apart from that, personality traits such as emotions, moods and self …

The comparison between listening to Surah Al-Mulk and Surah Al-Hasyr using EEG

NSB Ismail, ZB Sharif - 2016 IEEE International Conference on …, 2016 - ieeexplore.ieee.org
The Quran is a script consisting of 114 Surah. The Quran is known to have positive effects
on human, aids the stress healing process. Each Surah is provided for a different …

Implementation of Cluster analysis for Learning Style classification using brain Asymmetry

NA Rashid, MN Taib, S Lias… - 2011 IEEE 7th …, 2011 - ieeexplore.ieee.org
This study highlighted the use of Cluster analysis approach to classify the participants'
Learning Style (LS) based on the EEG brain asymmetry (BA) dataset. BA is importance to …

[PDF][PDF] Brain asymmetry classification in alpha band using knn during relax and non-relax condition

SAM Aris, MN Taib - ICCIT, 2012 - researchgate.net
Brain asymmetry gives information on which hemisphere is responding during certain
conditions. In this study, asymmetry score (AS) is computed from the alpha spectral power, to …

Classification of frontal alpha asymmetry using k-Nearest Neighbor

SAM Aris, MN Taib, N Sulaiman - … International Conference on …, 2012 - ieeexplore.ieee.org
Frontal alpha asymmetry is used as the EEG feature in this study. Total number of 43
students participated in EEG data collections of relax and non-relax conditions. The spectral …

Alpha-Band Frequency Dependency Between EEG in the Presence of Fear

SSI Aimullah - 2018 8th IEEE International Conference on …, 2018 - ieeexplore.ieee.org
Studies on the use of alpha spectrum of an Electroencephalogram (EEG) and its relationship
towards emotion, have been carried out extensively. Asymmetric Relationship Ratio (ARR) …