Asymmetric ratio and FCM based salient channel selection for human emotion detection using EEG
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World Scientific abd Engineering Academy and Scoiety (WSEAS)
2009
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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) |
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Asymmetric ratios Channel selection EEG Fuzzy C-Means (FCM) clustering Human emotions Wavelet transform Electroencephalogram |
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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 |
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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 |
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1643788807871397888 |
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13.18916 |