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
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
IEEE Conference Publications
2014
|
| Subjects: | |
| Online Access: | http://dspace.unimap.edu.my:80/dspace/handle/123456789/34665 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Malaysia Perlis |
| Language: | English |
| id |
my.unimap-34665 |
|---|---|
| record_format |
dspace |
| 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 |