EEG affect analysis based on KDE and MFCC
Classifying emotions based on the affective states of valence and arousal captured from brain discharge remains a challenge. The selection of the most efficient and reliable method of feature extraction forms a very important problem of EEG signal classification. Different methods applied are usuall...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/32132/1/32132.pdf |
| _version_ | 1825647485444423680 |
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| author | Hamal, Abdul Qayoom Othman, Marini Yaacob, Hamwira Sakti Abdul Rahman, Abdul Wahab |
| author_facet | Hamal, Abdul Qayoom Othman, Marini Yaacob, Hamwira Sakti Abdul Rahman, Abdul Wahab |
| author_sort | Hamal, Abdul Qayoom |
| collection | IIUM |
| description | Classifying emotions based on the affective states of valence and arousal captured from brain discharge remains a challenge. The selection of the most efficient and reliable method of feature extraction forms a very important problem of EEG signal classification. Different methods applied are usually based upon the time-domain or frequency-domain analysis. The following study is devoted to the EEG affect analysis based on feature extraction using KDE and MFCC and comparison of results achieved. MLP is used for classification of the features extracted. The resultant feature vectors extracted using KDE provides a more accurate capture of basic emotions when compared with MFCC feature vectors. |
| first_indexed | 2024-03-05T23:18:18Z |
| format | Proceeding Paper |
| id | oai:generic.eprints.org:32132 |
| institution | International Islamic University Malaysia |
| language | English |
| last_indexed | 2024-03-05T23:18:18Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | oai:generic.eprints.org:321322020-12-16T16:55:52Z http://irep.iium.edu.my/32132/ EEG affect analysis based on KDE and MFCC Hamal, Abdul Qayoom Othman, Marini Yaacob, Hamwira Sakti Abdul Rahman, Abdul Wahab BF511 Affection. Feeling. Emotion T58.5 Information technology Classifying emotions based on the affective states of valence and arousal captured from brain discharge remains a challenge. The selection of the most efficient and reliable method of feature extraction forms a very important problem of EEG signal classification. Different methods applied are usually based upon the time-domain or frequency-domain analysis. The following study is devoted to the EEG affect analysis based on feature extraction using KDE and MFCC and comparison of results achieved. MLP is used for classification of the features extracted. The resultant feature vectors extracted using KDE provides a more accurate capture of basic emotions when compared with MFCC feature vectors. 2012 Proceeding Paper NonPeerReviewed application/pdf en http://irep.iium.edu.my/32132/1/32132.pdf Hamal, Abdul Qayoom and Othman, Marini and Yaacob, Hamwira Sakti and Abdul Rahman, Abdul Wahab (2012) EEG affect analysis based on KDE and MFCC. In: The ISCA 2nd International Conference on Advanced Computing and Communication (ISCA-ACC-2012), 27–29 June 2012, Los Angeles, California USA. http://www.isca-hq.org/ACC2012Program.pdf |
| spellingShingle | BF511 Affection. Feeling. Emotion T58.5 Information technology Hamal, Abdul Qayoom Othman, Marini Yaacob, Hamwira Sakti Abdul Rahman, Abdul Wahab EEG affect analysis based on KDE and MFCC |
| title | EEG affect analysis based on KDE and MFCC |
| title_full | EEG affect analysis based on KDE and MFCC |
| title_fullStr | EEG affect analysis based on KDE and MFCC |
| title_full_unstemmed | EEG affect analysis based on KDE and MFCC |
| title_short | EEG affect analysis based on KDE and MFCC |
| title_sort | eeg affect analysis based on kde and mfcc |
| topic | BF511 Affection. Feeling. Emotion T58.5 Information technology |
| url | http://irep.iium.edu.my/32132/1/32132.pdf |
| work_keys_str_mv | AT hamalabdulqayoom eegaffectanalysisbasedonkdeandmfcc AT othmanmarini eegaffectanalysisbasedonkdeandmfcc AT yaacobhamwirasakti eegaffectanalysisbasedonkdeandmfcc AT abdulrahmanabdulwahab eegaffectanalysisbasedonkdeandmfcc |