Lifting scheme for human emotion recognition using EEG

Proceeding of The International Symposium on Information Technology 2008 (ITSim 2008) at Kuala Lumpur, Malaysia on 26 August 2008 through 29 August 2008. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp

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Main Authors: Murugappan, M., Dr., Mohd Rizon, Mohamed Juhari, Nagarajan, Ramachandran, Prof. Dr., Sazali, Yaacob, Prof. Dr., Ibrahim, Zunaidi, Hazry, Desa, Assoc. Prof. Dr.
Other Authors: murugappan@unimap.edu.my
Format: Article
Language:English
Published: IEEE Conference Publications 2014
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Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/34665
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spelling my.unimap-346652017-11-29T05:04:48Z Lifting scheme for human emotion recognition using EEG Murugappan, M., Dr. Mohd Rizon, Mohamed Juhari Nagarajan, Ramachandran, Prof. Dr. Sazali, Yaacob, Prof. Dr. Ibrahim, Zunaidi Hazry, Desa, Assoc. Prof. Dr. murugappan@unimap.edu.my mjuhari@ksu.edu.sa nagarajan@unimap.edu.my s.yaacob@unimap.edu.my zunaidi@tatiuc.edu.my hazry@unimap.edu.my Face recognition Human emotions Lifting schemes Biosensors Computer applications Proceeding of The International Symposium on Information Technology 2008 (ITSim 2008) at Kuala Lumpur, Malaysia on 26 August 2008 through 29 August 2008. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp In recent years, the need and importance of automatically recognizing emotions from EEG signals has grown with increasing role of brain computer interface applications. The detection of fine grained changes in functional state of human brain can be detected using EEG signals when compared to other physiological signals. This paper proposes an emotion recognition system from EEG (Electroencephalogram) signals. The audio-visual induction based acquisition protocol has been designed for acquiring the EEG signals under four emotions (disgust, happy, surprise and fear) for participants. Totally, 6 healthy subjects with an age group of 21–27 using 63 biosensors are used for registering the EEG signal for various emotions. After preprocessing the signals, two different lifting based wavelet transforms (LBWT) are employed to extract the three statistical features for classifying human emotions. In this work, we used Fuzzy C-Means (FCM) clustering for classifying the emotions. Results confirm the possibility of using two different lifting scheme based wavelet transform for assessing the human emotions from EEG signals. 2014-05-23T03:14:12Z 2014-05-23T03:14:12Z 2008-08 Article p. 1-7 978-1-4244-2328-6 (Online) 978-1-4244-2327-9 (Print) http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=4631646 http://dspace.unimap.edu.my:80/dspace/handle/123456789/34665 http://dx.doi.org/10.1109/ITSIM.2008.4631646 en Proceeding of The International Symposium on Information Technology 2008 (ITSim); IEEE Conference Publications
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 Face recognition
Human emotions
Lifting schemes
Biosensors
Computer applications
spellingShingle Face recognition
Human emotions
Lifting schemes
Biosensors
Computer applications
Murugappan, M., Dr.
Mohd Rizon, Mohamed Juhari
Nagarajan, Ramachandran, Prof. Dr.
Sazali, Yaacob, Prof. Dr.
Ibrahim, Zunaidi
Hazry, Desa, Assoc. Prof. Dr.
Lifting scheme for human emotion recognition using EEG
description Proceeding of The International Symposium on Information Technology 2008 (ITSim 2008) at Kuala Lumpur, Malaysia on 26 August 2008 through 29 August 2008. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp
author2 murugappan@unimap.edu.my
author_facet murugappan@unimap.edu.my
Murugappan, M., Dr.
Mohd Rizon, Mohamed Juhari
Nagarajan, Ramachandran, Prof. Dr.
Sazali, Yaacob, Prof. Dr.
Ibrahim, Zunaidi
Hazry, Desa, Assoc. Prof. Dr.
format Article
author Murugappan, M., Dr.
Mohd Rizon, Mohamed Juhari
Nagarajan, Ramachandran, Prof. Dr.
Sazali, Yaacob, Prof. Dr.
Ibrahim, Zunaidi
Hazry, Desa, Assoc. Prof. Dr.
author_sort Murugappan, M., Dr.
title Lifting scheme for human emotion recognition using EEG
title_short Lifting scheme for human emotion recognition using EEG
title_full Lifting scheme for human emotion recognition using EEG
title_fullStr Lifting scheme for human emotion recognition using EEG
title_full_unstemmed Lifting scheme for human emotion recognition using EEG
title_sort lifting scheme for human emotion recognition using eeg
publisher IEEE Conference Publications
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/34665
_version_ 1643802754731212800
score 13.214268