Emotion Analysis using Different Stimuli with EEG Signals in Emotional Space

Automatic detection for human-machine interfaces of the emotional states of the people is one of the difficult tasks. EEG signals that are very difficult to control by the person are also used in emotion recognition tasks. In this study, emotion analysis and classification study were conducted by us...

Full description

Bibliographic Details
Main Authors: Yasar Dasdemir, Esen Yildirim, Serdar Yildirim
Format: Article
Language:English
Published: Natural and Engineering Sciences 2017-06-01
Series:Natural and Engineering Sciences
Subjects:
EEG
Online Access:http://www.nesciences.com/download.php?id=151
id doaj-b688ca1ba63c4750a6a3426dd45c2e34
record_format Article
spelling doaj-b688ca1ba63c4750a6a3426dd45c2e342020-11-24T22:31:15ZengNatural and Engineering SciencesNatural and Engineering Sciences2458-89892458-89892017-06-0122110Emotion Analysis using Different Stimuli with EEG Signals in Emotional SpaceYasar DasdemirEsen YildirimSerdar YildirimAutomatic detection for human-machine interfaces of the emotional states of the people is one of the difficult tasks. EEG signals that are very difficult to control by the person are also used in emotion recognition tasks. In this study, emotion analysis and classification study were conducted by using EEG signals for different types of stimuli. The combination of the audio and video information has been shown to be more effective about the classification of positive/negative (high/low) emotion by using wavelet transform from EEG signals, and true positive rate of 81.6% was obtained in valence dimension. Information of audio was found to be more effective than the information of video at classification that is made in arousal dimension, and true positive rate of 73.7% was obtained when both stimuli of audio and audio+video are used. Four class classification performance has also been examined in the space of valence-arousal.http://www.nesciences.com/download.php?id=151EEGstimuli typesemotionemotion space modelvalencearousal
collection DOAJ
language English
format Article
sources DOAJ
author Yasar Dasdemir
Esen Yildirim
Serdar Yildirim
spellingShingle Yasar Dasdemir
Esen Yildirim
Serdar Yildirim
Emotion Analysis using Different Stimuli with EEG Signals in Emotional Space
Natural and Engineering Sciences
EEG
stimuli types
emotion
emotion space model
valence
arousal
author_facet Yasar Dasdemir
Esen Yildirim
Serdar Yildirim
author_sort Yasar Dasdemir
title Emotion Analysis using Different Stimuli with EEG Signals in Emotional Space
title_short Emotion Analysis using Different Stimuli with EEG Signals in Emotional Space
title_full Emotion Analysis using Different Stimuli with EEG Signals in Emotional Space
title_fullStr Emotion Analysis using Different Stimuli with EEG Signals in Emotional Space
title_full_unstemmed Emotion Analysis using Different Stimuli with EEG Signals in Emotional Space
title_sort emotion analysis using different stimuli with eeg signals in emotional space
publisher Natural and Engineering Sciences
series Natural and Engineering Sciences
issn 2458-8989
2458-8989
publishDate 2017-06-01
description Automatic detection for human-machine interfaces of the emotional states of the people is one of the difficult tasks. EEG signals that are very difficult to control by the person are also used in emotion recognition tasks. In this study, emotion analysis and classification study were conducted by using EEG signals for different types of stimuli. The combination of the audio and video information has been shown to be more effective about the classification of positive/negative (high/low) emotion by using wavelet transform from EEG signals, and true positive rate of 81.6% was obtained in valence dimension. Information of audio was found to be more effective than the information of video at classification that is made in arousal dimension, and true positive rate of 73.7% was obtained when both stimuli of audio and audio+video are used. Four class classification performance has also been examined in the space of valence-arousal.
topic EEG
stimuli types
emotion
emotion space model
valence
arousal
url http://www.nesciences.com/download.php?id=151
work_keys_str_mv AT yasardasdemir emotionanalysisusingdifferentstimuliwitheegsignalsinemotionalspace
AT esenyildirim emotionanalysisusingdifferentstimuliwitheegsignalsinemotionalspace
AT serdaryildirim emotionanalysisusingdifferentstimuliwitheegsignalsinemotionalspace
_version_ 1725738021288935424