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...
Main Authors: | Morteza Zangeneh Soroush, Keivan Maghooli, Seyed Kamaledin Setarehdan, Ali Motie Nasrabadi |
---|---|
Format: | Article |
Language: | English |
Published: |
Shahid Beheshti University of Medical Sciences
2017-10-01
|
Series: | International Clinical Neuroscience Journal |
Online Access: | http://journals.sbmu.ac.ir/Neuroscience/article/download/18477/1 |
Similar Items
-
Emotion Classification through Nonlinear EEG Analysis Using Machine Learning Methods
by: Morteza Zangeneh Soroush, et al.
Published: (2018-10-01) -
A novel approach to emotion recognition using local subset feature selection and modified Dempster-Shafer theory
by: Morteza Zangeneh Soroush, et al.
Published: (2018-10-01) -
The Emotion Recognition System Based on Autoregressive Model and Sequential Forward Feature Selection of Electroencephalogram Signals
by: Sepideh Hatamikia, et al.
Published: (2014-01-01) -
Classification of Mental Stress Levels by Analyzing fNIRS Signal Using Linear and Non-linear Features
by: Reza Arefi Shirvan, et al.
Published: (2018-04-01) -
Comparative Analysis of the Discriminative Capacity of EEG, Two ECG-Derived and Respiratory Signals in Automatic Sleep Staging
by: Farideh Ebrahimi, et al.
Published: (2017-01-01)