A Review on EEG Signals Based Emotion Recognition
Emotion recognition has become a very controversial issue in brain-computer interfaces (BCIs). Moreover, numerous studies have been conducted in order to recognize emotions. Also, there are several important definitions and theories about human emotions. In this paper we try to cover important topic...
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Shahid Beheshti University of Medical Sciences
2017-10-01
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doaj-d83380813634411a8a6df6119db8f3bd2020-11-24T21:59:54ZengShahid Beheshti University of Medical SciencesInternational Clinical Neuroscience Journal2383-18712383-20962017-10-014411812910.15171/icnj.2017.01icnj-2A Review on EEG Signals Based Emotion RecognitionMorteza Zangeneh Soroush0Keivan Maghooli1Seyed Kamaledin Setarehdan2Ali Motie Nasrabadi3Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, IranDepartment of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, IranControl and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, IranBiomedical Engineering Department, Faculty of Engineering, Shahed University, Tehran, IranEmotion recognition has become a very controversial issue in brain-computer interfaces (BCIs). Moreover, numerous studies have been conducted in order to recognize emotions. Also, there are several important definitions and theories about human emotions. In this paper we try to cover important topics related to the field of emotion recognition. We review several studies which are based on analyzing electroencephalogram (EEG) signals as a biological marker in emotion changes. Considering low cost, good time and spatial resolution, EEG has become very common and is widely used in most BCI applications and studies. First, we state some theories and basic definitions related to emotions. Then some important steps of an emotion recognition system like different kinds of biologic measurements (EEG, electrocardiogram [EEG], respiration rate, etc), offline vs online recognition methods, emotion stimulation types and common emotion models are described. Finally, the recent and most important studies are reviewed.http://journals.sbmu.ac.ir/Neuroscience/article/download/18477/1 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Morteza Zangeneh Soroush Keivan Maghooli Seyed Kamaledin Setarehdan Ali Motie Nasrabadi |
spellingShingle |
Morteza Zangeneh Soroush Keivan Maghooli Seyed Kamaledin Setarehdan Ali Motie Nasrabadi A Review on EEG Signals Based Emotion Recognition International Clinical Neuroscience Journal |
author_facet |
Morteza Zangeneh Soroush Keivan Maghooli Seyed Kamaledin Setarehdan Ali Motie Nasrabadi |
author_sort |
Morteza Zangeneh Soroush |
title |
A Review on EEG Signals Based Emotion Recognition |
title_short |
A Review on EEG Signals Based Emotion Recognition |
title_full |
A Review on EEG Signals Based Emotion Recognition |
title_fullStr |
A Review on EEG Signals Based Emotion Recognition |
title_full_unstemmed |
A Review on EEG Signals Based Emotion Recognition |
title_sort |
review on eeg signals based emotion recognition |
publisher |
Shahid Beheshti University of Medical Sciences |
series |
International Clinical Neuroscience Journal |
issn |
2383-1871 2383-2096 |
publishDate |
2017-10-01 |
description |
Emotion recognition has become a very controversial issue in brain-computer interfaces (BCIs). Moreover, numerous studies have been conducted in order to recognize emotions. Also, there are several important definitions and theories about human emotions. In this paper we try to cover important topics related to the field of emotion recognition. We review several studies which are based on analyzing electroencephalogram (EEG) signals as a biological marker in emotion changes. Considering low cost, good time and spatial resolution, EEG has become very common and is widely used in most BCI applications and studies. First, we state some theories and basic definitions related to emotions. Then some important steps of an emotion recognition system like different kinds of biologic measurements (EEG, electrocardiogram [EEG], respiration rate, etc), offline vs online recognition methods, emotion stimulation types and common emotion models are described. Finally, the recent and most important studies are reviewed. |
url |
http://journals.sbmu.ac.ir/Neuroscience/article/download/18477/1 |
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