Emotion recognition using electroencephalogram signal

QR Code

Emotion recognition using electroencephalogram signal

Emotion play an essential role in human’s life and it is not consciously controlled. Some of the emotion can be easily expressed by facial expressions, speech, behavior and gesture but some are not. This study investigates the emotion recognition using electroencephalogram (EEG) signal. Undoubtedly,...

Full description

Bibliographic Details
Main Authors:	Mohammad Yosi, Aqila Nur Nadira, Sidek, Khairul Azami, Yaacob, Hamwira Sakti, Othman, Marini, Jusoh, Ahmad Zamani
Format:	Article
Language:	English English
Published:	Institute of Advanced Engineering and Science 2019
Subjects:	TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/73042/ http://irep.iium.edu.my/73042/7/73042%20Emotion%20recognition%20using%20electroencephalogram.pdf http://irep.iium.edu.my/73042/13/73042_Emotion%20recognition_Scopus.pdf

Similar Items

Identical and fraternal twin recognition using photoplethysmogram signals
by: Mohammed Nadzri, NurIzzati, et al.
Published: (2017)

The study of PPG and APG signals for biometric recognition
by: Sidek, Khairul Azami, et al.
Published: (2018)

Stress recognition using photoplethysmogram signal
by: Abd Halim, Noor Hafizah Azlin, et al.
Published: (2017)

Portable health monitoring kit using photolethysmogram signal
by: Jamal, Nur Firda Ayu, et al.
Published: (2019)

Study of emotional variability using photoplethysmogram signal
by: Sidek, Khairul Azami, et al.
Published: (2018)

Biometric recognition for twins inconsideration of age variability using PPG signals
by: Mohammed Nadzri, Nur Izzati, et al.
Published: (2018)

Electrocardiogram (ECG) based stress recognition integrated with different classification of age and gender
by: Nor Shahrudin, Nur Shahirah, et al.
Published: (2019)

Extracting features using computational cerebellar model for emotion classification
by: Yaacob, Hamwira Sakti, et al.
Published: (2013)

EEG based biometric identification using correlation and MLPNN models
by: Waili, Tuerxun, et al.
Published: (2019)

Stress recognition using photoplethysmogram (PPG) signal incorporating gender and age variability
by: Abd Halim, Noor Hafizah Azlin, et al.
Published: (2019)

EEG-based emotion recognition in the investment activities
by: Mat Razi, Nurul Izzati, et al.
Published: (2016)

Simple and efficient multibiometric technique for subject recognition using multilead electrocardiogram signal
by: Sidek, Khairul Azami, et al.
Published: (2013)

Automobile driver recognition under different physiological conditions using the electrocardiogram
by: Sidek, Khairul Azami, et al.
Published: (2011)

Investment decisions based on EEG emotion recognition
by: Mat Razi, Nurul Izzati, et al.
Published: (2017)

Biometric sample extraction using Mahalanobis distance in cardioid based graph using electrocardiogram signals
by: Sidek, Khairul Azami, et al.
Published: (2012)

Development of fatigue detection technique using photoplethysmogram signal
by: Sidek, Khairul Azami, et al.
Published: (2019)

Biometric identification for twins using photoplethysmogram signals
by: Mohammed Nadzr, Nur Izzati, et al.
Published: (2017)

Cardioid graph based ECG biometric recognition incorporating physiological variability
by: Iqbal, Fatema-tuz-Zohra, et al.
Published: (2014)

Photoplethysmogram based biometric recognition for twins
by: Mohammed Nadzr, Nur Izzati, et al.
Published: (2016)

Heart abnormality detection using acceleration plethysmogram signal
by: Hussin, Khalida, et al.
Published: (2018)

Development of a photoplethysmography signal processing method for oxygen measurement concentration
by: Ahmed, Waiz, et al.
Published: (2015)

Portable anti forgery recognition for attendance system using fingerprint based biometric
by: Zainal, Nur Izzati, et al.
Published: (2016)

ECG biometric recognition in different physiological conditions using robust normalized QRS complexes
by: Sidek, Khairul Azami, et al.
Published: (2012)

ECG biometric recognition in different physiological conditions using robust normalized QRS complexes
by: Sidek, Khairul Azami, et al.
Published: (2012)

Development of lie detector using photoplethysmogram signal
by: Shariff, Nur Amirah, et al.
Published: (2019)

Cardiac irregularity detection using photoplethysmogram signal
by: Umadi, Lina Fadhilah, et al.
Published: (2016)

Lie detection using acceleration plethysmography signal
by: Sidek, Khairul Azami, et al.
Published: (2018)

Heart abnormality detection technique using PPG signal
by: Umadi, L.F., et al.
Published: (2016)

A summarization of image and video databases for emotion recognition
by: Ashraf, Arselan, et al.
Published: (2020)

Speech emotion recognition using deep feedforward neural network
by: Alghifari, Muhammad Fahreza, et al.
Published: (2018)

A review on emotion recognition algorithms using speech analysis
by: Gunawan, Teddy Surya, et al.
Published: (2018)

Measurement of photoplethysmography signal for heart rate variability and comparison of two different age groups
by: Shah, Mansoor Hussain, et al.
Published: (2015)

Power spectrum density based analysis of photoplethymographic signal for different physiological conditions
by: Shah, Mansoor Hussain, et al.
Published: (2014)

Speech emotion recognition using feature fusion of TEO and MFCC on multilingual databases
by: Ahmad Qadri, Syed Asif, et al.
Published: (2020)

Real time PPG data acquisition with GUI based application for HRV measurement
by: Zainal, Nur Izzati, et al.
Published: (2016)

On the use of voice activity detection in speech emotion recognition
by: Alghifari, Muhammad Fahreza, et al.
Published: (2019)

Enhancement of low sampling frequency recordings for ECG biometric matching using interpolation
by: Sidek, Khairul Azami, et al.
Published: (2013)

Photoplethysmogram based biometric identification for twins incorporating gender variability
by: Mohammed Nadzri, Nur Izzati, et al.
Published: (2016)

A review of ECG data acquisition for driver drowsiness detection
by: Nor Shahrudin, Nur Shahirah, et al.
Published: (2020)

Emotion and mood recognition in response to video
by: Dwi Handayani, Dini Oktarina, et al.
Published: (2015)