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...

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Main Authors: Yaacob, Hamwira Sakti, Abdul Rahman, Abdul Wahab
Format: Article
Language:English
English
Published: American Scientific Publishers 2017
Subjects:
Online Access: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
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author Yaacob, Hamwira Sakti
Abdul Rahman, Abdul Wahab
author_facet Yaacob, Hamwira Sakti
Abdul Rahman, Abdul Wahab
author_sort Yaacob, Hamwira Sakti
building IIUM Repository
collection Online Access
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.
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institution International Islamic University Malaysia
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language English
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publishDate 2017
publisher American Scientific Publishers
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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
spellingShingle QA76 Computer software
Yaacob, Hamwira Sakti
Abdul Rahman, Abdul Wahab
Affective state classification through CMAC-based model of affects (CCMA) using SVM
title 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_short 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
topic QA76 Computer software
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