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Asymmetric ratio and FCM based salient channel selection for human emotion detection using EEG

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Main Authors: Mohamad Rizon, Mohamed Juhari, Murugappan, M., Ramachandran, Nagarajan, Sazali, Yaacob
Format: Article
Language:English
Published: World Scientific abd Engineering Academy and Scoiety (WSEAS) 2009
Subjects:
Asymmetric ratios
Channel selection
EEG
Fuzzy C-Means (FCM) clustering
Human emotions
Wavelet transform
Electroencephalogram
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/7415
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spelling my.unimap-74152009-12-14T06:48:37Z Asymmetric ratio and FCM based salient channel selection for human emotion detection using EEG Mohamad Rizon, Mohamed Juhari Murugappan, M. Ramachandran, Nagarajan Sazali, Yaacob Asymmetric ratios Channel selection EEG Fuzzy C-Means (FCM) clustering Human emotions Wavelet transform Electroencephalogram Link to publisher's homepage at http://www.worldses.org Electroencephalogram (EEG) is one of the most reliable physiological signals used for detecting the emotional states of human brain. We propose Asymmetric Ratio (AR) based channel selection for human emotion recognition using EEG: Selection of channels reduces the feature size, computational load requirements and robustness of emotions classification. We address this crisis using Asymmetric Variance Ratio (AVR) and Amplitude Asymmetric Ratio (AAR) as new channel selection methods. Using these methods the 28 homogeneous pairs of EEG channels is reduced to 4 and 2 channel pairs respectively. These methods significantly reduce the number of homogeneous pair of channels to be used for emotion detection. This approach is illustrated with 5 distinct emotions (disgust, happy, surprise, sad, and fear) on 63 channels EEG data recorded from 5 healthy subjects. In this study, we used Multi-Resolution Analysis (MRA) based feature extraction the original and reduced set of channels for emotion classification. These approaches were empirically evaluated by using a simple unsupervised classifier, Fuzzy C-Means clustering with variable clusters. The paper concludes by discussing the impact of reduced channels on emotion recognition with larger number of channels and outlining the potential of the new channel selection method. 2009-12-14T06:48:37Z 2009-12-14T06:48:37Z 2008 Article WSEAS Transactions on Signal Processing, vol.4 (10), 2008, pages 596-603. 1790-5052 http://www.worldses.org/journals/signal/index.html http://hdl.handle.net/123456789/7415 en World Scientific abd Engineering Academy and Scoiety (WSEAS)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Asymmetric ratios
Channel selection
EEG
Fuzzy C-Means (FCM) clustering
Human emotions
Wavelet transform
Electroencephalogram
spellingShingle Asymmetric ratios
Channel selection
EEG
Fuzzy C-Means (FCM) clustering
Human emotions
Wavelet transform
Electroencephalogram
Mohamad Rizon, Mohamed Juhari
Murugappan, M.
Ramachandran, Nagarajan
Sazali, Yaacob
Asymmetric ratio and FCM based salient channel selection for human emotion detection using EEG
description Link to publisher's homepage at http://www.worldses.org
format Article
author Mohamad Rizon, Mohamed Juhari
Murugappan, M.
Ramachandran, Nagarajan
Sazali, Yaacob
author_facet Mohamad Rizon, Mohamed Juhari
Murugappan, M.
Ramachandran, Nagarajan
Sazali, Yaacob
author_sort Mohamad Rizon, Mohamed Juhari
title Asymmetric ratio and FCM based salient channel selection for human emotion detection using EEG
title_short Asymmetric ratio and FCM based salient channel selection for human emotion detection using EEG
title_full Asymmetric ratio and FCM based salient channel selection for human emotion detection using EEG
title_fullStr Asymmetric ratio and FCM based salient channel selection for human emotion detection using EEG
title_full_unstemmed Asymmetric ratio and FCM based salient channel selection for human emotion detection using EEG
title_sort asymmetric ratio and fcm based salient channel selection for human emotion detection using eeg
publisher World Scientific abd Engineering Academy and Scoiety (WSEAS)
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/7415
_version_ 1643788807871397888
score 13.222552

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