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The effect of noise removing on emotional classification

This paper explains the issues of study that was designed to evaluate the effect of denoising algorithm to detect emotional expression through Electroencephalogram (EEG). This research led to classify the EEG features due to emotion which was induced by the facial expression stimulus include of happ...

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Main Authors: Molavi, M., Yunus, Jasmy
Format: Book Section
Published: IEEE 2012
Subjects:
Q Science (General)
Online Access:http://eprints.utm.my/id/eprint/36045/
http://dx.doi.org/10.1109/ICCISci.2012.6297294
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id my.utm.36045
record_format eprints
spelling my.utm.360452017-02-02T05:59:48Z http://eprints.utm.my/id/eprint/36045/ The effect of noise removing on emotional classification Molavi, M. Yunus, Jasmy Q Science (General) This paper explains the issues of study that was designed to evaluate the effect of denoising algorithm to detect emotional expression through Electroencephalogram (EEG). This research led to classify the EEG features due to emotion which was induced by the facial expression stimulus include of happy and sad and neutral cases. Event-related potential (ERP) method was selected to probe the ability of Independent components analysis (ICA) and principal components analysis (PCA) as denoising mathematical tool which is used for data preprocessing. The features were extracted by common spatial patterns (CSP) to decrease the dimensions of data. After that extracted components was classified by support vector machine (SVM) to show the effect of noise removing on data classification. The results show that ICA could provide the most accurate result for classifying emotional states in brain activity than other methods. However, the PCA was not shown a very different and inaccurate classification results. IEEE 2012 Book Section PeerReviewed Molavi, M. and Yunus, Jasmy (2012) The effect of noise removing on emotional classification. In: 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings. IEEE, New York, USA, pp. 485-489. ISBN 978-146731938-6 http://dx.doi.org/10.1109/ICCISci.2012.6297294 DOI:10.1109/ICCISci.2012.6297294
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic Q Science (General)
spellingShingle Q Science (General)
Molavi, M.
Yunus, Jasmy
The effect of noise removing on emotional classification
description This paper explains the issues of study that was designed to evaluate the effect of denoising algorithm to detect emotional expression through Electroencephalogram (EEG). This research led to classify the EEG features due to emotion which was induced by the facial expression stimulus include of happy and sad and neutral cases. Event-related potential (ERP) method was selected to probe the ability of Independent components analysis (ICA) and principal components analysis (PCA) as denoising mathematical tool which is used for data preprocessing. The features were extracted by common spatial patterns (CSP) to decrease the dimensions of data. After that extracted components was classified by support vector machine (SVM) to show the effect of noise removing on data classification. The results show that ICA could provide the most accurate result for classifying emotional states in brain activity than other methods. However, the PCA was not shown a very different and inaccurate classification results.
format Book Section
author Molavi, M.
Yunus, Jasmy
author_facet Molavi, M.
Yunus, Jasmy
author_sort Molavi, M.
title The effect of noise removing on emotional classification
title_short The effect of noise removing on emotional classification
title_full The effect of noise removing on emotional classification
title_fullStr The effect of noise removing on emotional classification
title_full_unstemmed The effect of noise removing on emotional classification
title_sort effect of noise removing on emotional classification
publisher IEEE
publishDate 2012
url http://eprints.utm.my/id/eprint/36045/
http://dx.doi.org/10.1109/ICCISci.2012.6297294
_version_ 1643649887832637440
score 13.211869

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