Affective state classification through CMAC-based model of affects (CCMA) using SVM

A number of computational models have been proposed to perform emotion profiling through affective state classification using EEG signals. However, such models do not include both temporal and spatial dynamic of the signals. It is also observed that the performance of classifying emotion using the e...

Full description

Bibliographic Details
Main Authors:	Yaacob, Hamwira Sakti, Abdul Rahman, Abdul Wahab
Format:	Article
Language:	English English
Published:	American Scientific Publishers 2017
Subjects:	QA76 Computer software
Online Access:	http://irep.iium.edu.my/60742/ http://irep.iium.edu.my/60742/ http://irep.iium.edu.my/60742/ http://irep.iium.edu.my/60742/16/60742_Affective%20state%20classification%20through%20CMAC-based_article.pdf http://irep.iium.edu.my/60742/15/60742_Affective%20state%20classification%20through%20CMAC-based_scopus.pdf

id	iium-60742
recordtype	eprints
spelling	iium-607422018-04-02T03:16:42Z http://irep.iium.edu.my/60742/ Affective state classification through CMAC-based model of affects (CCMA) using SVM Yaacob, Hamwira Sakti Abdul Rahman, Abdul Wahab QA76 Computer software A number of computational models have been proposed to perform emotion profiling through affective state classification using EEG signals. However, such models do not include both temporal and spatial dynamic of the signals. It is also observed that the performance of classifying emotion using the existing models produce high classification accuracy on one subject, but not on different subjects. Thus, in this paper CMAC-based Computational Model of Affects (CCMA) is proposed as feature extraction for the classification task. CCMA keeps the temporal and spatial dynamics of EEG signals to produce better classification performance. Using Support Vector Machine (SVM) as classifier, the features produce higher classification accuracy for heterogeneous test. American Scientific Publishers 2017-11-01 Article NonPeerReviewed application/pdf en http://irep.iium.edu.my/60742/16/60742_Affective%20state%20classification%20through%20CMAC-based_article.pdf application/pdf en http://irep.iium.edu.my/60742/15/60742_Affective%20state%20classification%20through%20CMAC-based_scopus.pdf Yaacob, Hamwira Sakti and Abdul Rahman, Abdul Wahab (2017) Affective state classification through CMAC-based model of affects (CCMA) using SVM. Advanced Science Letters, 23 (11). pp. 11369-11373. ISSN 1936-6612 E-ISSN 1936-7317 (In Press) http://www.ingentaconnect.com/contentone/asp/asl/2017/00000023/00000011/art00202 10.1166/asl.2017.10285
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Yaacob, Hamwira Sakti Abdul Rahman, Abdul Wahab Affective state classification through CMAC-based model of affects (CCMA) using SVM
description	A number of computational models have been proposed to perform emotion profiling through affective state classification using EEG signals. However, such models do not include both temporal and spatial dynamic of the signals. It is also observed that the performance of classifying emotion using the existing models produce high classification accuracy on one subject, but not on different subjects. Thus, in this paper CMAC-based Computational Model of Affects (CCMA) is proposed as feature extraction for the classification task. CCMA keeps the temporal and spatial dynamics of EEG signals to produce better classification performance. Using Support Vector Machine (SVM) as classifier, the features produce higher classification accuracy for heterogeneous test.
format	Article
author	Yaacob, Hamwira Sakti Abdul Rahman, Abdul Wahab
author_facet	Yaacob, Hamwira Sakti Abdul Rahman, Abdul Wahab
author_sort	Yaacob, Hamwira Sakti
title	Affective state classification through CMAC-based model of affects (CCMA) using SVM
title_short	Affective state classification through CMAC-based model of affects (CCMA) using SVM
title_full	Affective state classification through CMAC-based model of affects (CCMA) using SVM
title_fullStr	Affective state classification through CMAC-based model of affects (CCMA) using SVM
title_full_unstemmed	Affective state classification through CMAC-based model of affects (CCMA) using SVM
title_sort	affective state classification through cmac-based model of affects (ccma) using svm
publisher	American Scientific Publishers
publishDate	2017
url	http://irep.iium.edu.my/60742/ http://irep.iium.edu.my/60742/ http://irep.iium.edu.my/60742/ http://irep.iium.edu.my/60742/16/60742_Affective%20state%20classification%20through%20CMAC-based_article.pdf http://irep.iium.edu.my/60742/15/60742_Affective%20state%20classification%20through%20CMAC-based_scopus.pdf
first_indexed	2023-09-18T21:26:06Z
last_indexed	2023-09-18T21:26:06Z
_version_	1777412201896738816

Affective state classification through CMAC-based model of affects (CCMA) using SVM

Similar Items