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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/50950/1/50950_statistical_approach.pdf
http://irep.iium.edu.my/50950/4/50950_Statistical%20approach%20for%20a%20complex%20emotion%20recognition%20based%20on%20EEG%20features_SCOPUS.pdf
http://irep.iium.edu.my/50950/
http://ieeexplore.ieee.org/search/searchresult.jsp?newsearch=true&queryText=acsat%202015
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spelling my.iium.irep.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 REM 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/50950/1/50950_statistical_approach.pdf
http://irep.iium.edu.my/50950/4/50950_Statistical%20approach%20for%20a%20complex%20emotion%20recognition%20based%20on%20EEG%20features_SCOPUS.pdf
http://irep.iium.edu.my/50950/
http://ieeexplore.ieee.org/search/searchresult.jsp?newsearch=true&queryText=acsat%202015
_version_ 1643613851365670912
score 13.211869

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