Statistical approach for a complex emotion recognition based on EEG features

This paper presents electroencephalogram (EEG) signals and normal distribution technique to recognize the complex emotion. In the recent years, there has been a trend towards recognizing human emotions, however not many researcher aware that human can recognize more than emotion at one time. T...

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Main Authors:	Dwi Handayani, Dini Oktarina, Yaacob, Hamwira Sakti, Abdul Rahman, Abdul Wahab, Alshaikhli, Imad Fakhri Taha
Format:	Conference or Workshop Item
Language:	English English
Published:	The Institute of Electrical and Electronics Engineers, Inc. 2016
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/50950/ http://irep.iium.edu.my/50950/ http://irep.iium.edu.my/50950/ http://irep.iium.edu.my/50950/1/50950_statistical_approach.pdf http://irep.iium.edu.my/50950/4/50950_Statistical%20approach%20for%20a%20complex%20emotion%20recognition%20based%20on%20EEG%20features_SCOPUS.pdf

id	iium-50950
recordtype	eprints
spelling	iium-509502017-10-19T06:38:23Z http://irep.iium.edu.my/50950/ Statistical approach for a complex emotion recognition based on EEG features Dwi Handayani, Dini Oktarina Yaacob, Hamwira Sakti Abdul Rahman, Abdul Wahab Alshaikhli, Imad Fakhri Taha QA75 Electronic computers. Computer science This paper presents electroencephalogram (EEG) signals and normal distribution technique to recognize the complex emotion. In the recent years, there has been a trend towards recognizing human emotions, however not many researcher aware that human can recognize more than emotion at one time. Thus, in this study, normal distribution is utilized to recognize the expected emotion. The feature extraction and classification were obtained using a Mel-frequency cepstral coefficients (MFCC) and multilayer perceptron (MLP). The correlation between human emotion and mood is also the essential point, since the mood can affected to the human emotion. The result shows that the human emotions is strongly influenced by his initial mood. The Institute of Electrical and Electronics Engineers, Inc. 2016-05 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/50950/1/50950_statistical_approach.pdf application/pdf en http://irep.iium.edu.my/50950/4/50950_Statistical%20approach%20for%20a%20complex%20emotion%20recognition%20based%20on%20EEG%20features_SCOPUS.pdf Dwi Handayani, Dini Oktarina and Yaacob, Hamwira Sakti and Abdul Rahman, Abdul Wahab and Alshaikhli, Imad Fakhri Taha (2016) Statistical approach for a complex emotion recognition based on EEG features. In: 2015 4th International Conference on Advanced Computer Science Applications and Technologies (ACSAT 2015), 8th-10th Dec. 2015, Kuala Lumpur. http://ieeexplore.ieee.org/search/searchresult.jsp?newsearch=true&queryText=acsat%202015 10.1109/ACSAT.2015.54
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Dwi Handayani, Dini Oktarina Yaacob, Hamwira Sakti Abdul Rahman, Abdul Wahab Alshaikhli, Imad Fakhri Taha Statistical approach for a complex emotion recognition based on EEG features
description	This paper presents electroencephalogram (EEG) signals and normal distribution technique to recognize the complex emotion. In the recent years, there has been a trend towards recognizing human emotions, however not many researcher aware that human can recognize more than emotion at one time. Thus, in this study, normal distribution is utilized to recognize the expected emotion. The feature extraction and classification were obtained using a Mel-frequency cepstral coefficients (MFCC) and multilayer perceptron (MLP). The correlation between human emotion and mood is also the essential point, since the mood can affected to the human emotion. The result shows that the human emotions is strongly influenced by his initial mood.
format	Conference or Workshop Item
author	Dwi Handayani, Dini Oktarina Yaacob, Hamwira Sakti Abdul Rahman, Abdul Wahab Alshaikhli, Imad Fakhri Taha
author_facet	Dwi Handayani, Dini Oktarina Yaacob, Hamwira Sakti Abdul Rahman, Abdul Wahab Alshaikhli, Imad Fakhri Taha
author_sort	Dwi Handayani, Dini Oktarina
title	Statistical approach for a complex emotion recognition based on EEG features
title_short	Statistical approach for a complex emotion recognition based on EEG features
title_full	Statistical approach for a complex emotion recognition based on EEG features
title_fullStr	Statistical approach for a complex emotion recognition based on EEG features
title_full_unstemmed	Statistical approach for a complex emotion recognition based on EEG features
title_sort	statistical approach for a complex emotion recognition based on eeg features
publisher	The Institute of Electrical and Electronics Engineers, Inc.
publishDate	2016
url	http://irep.iium.edu.my/50950/ http://irep.iium.edu.my/50950/ http://irep.iium.edu.my/50950/ http://irep.iium.edu.my/50950/1/50950_statistical_approach.pdf http://irep.iium.edu.my/50950/4/50950_Statistical%20approach%20for%20a%20complex%20emotion%20recognition%20based%20on%20EEG%20features_SCOPUS.pdf
first_indexed	2023-09-18T21:12:07Z
last_indexed	2023-09-18T21:12:07Z
_version_	1777411321707364352

Statistical approach for a complex emotion recognition based on EEG features

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