Emotion recognition from electrocardiogram signals using Hilbert Huang Transform
Proceeding of The 3rd IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT 2012) at Kuala Lumpur, Malaysia on 6 October 2012 through 9 October 2012. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp
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2014
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my.unimap-346372014-05-22T07:52:40Z Emotion recognition from electrocardiogram signals using Hilbert Huang Transform Selvaraj, Jerritta Murugappan, M., Dr. Wan Khairunizam, Wan Ahmad, Dr. Sazali, Yaacob, Prof. Dr. sn.jerritta@gmail.com murugappan@unimap.edu.my khairunizam@unimap.edu.my s.yaacob@unimap.edu.my Electrocardiogram signals Emotions Empirical Mode Decomposition (EMD) Hilbert Huang Transform (HHT) Proceeding of The 3rd IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT 2012) at Kuala Lumpur, Malaysia on 6 October 2012 through 9 October 2012. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp Equipping robots and computers with emotional intelligence is becoming important in Human-Computer Interaction (HCI). Bio-signal based methods are found to be reliable and accurate than conventional methods as they directly manifest the underlying activity of the Autonomous Nervous System (ANS). This paper focuses on recognizing six emotional states (happiness, sadness, fear, surprise, disgust and neutral) from Electrocardiogram (ECG) signals that were obtained from multiple subjects. The emotional data was collected by inducing emotions internally in the subject using audio visual clips. The normalized QRS derivative signal was obtained from captured emotional ECG data by means of a non-linear transform. Hilbert Huang Transform (HHT) based analysis was done to obtain the emotional features in low, high and total (low and high together) the frequency ranges. The classification results indicate that low frequency Intrinsic Mode Functions (IMF) contain more emotional information compared to the other frequency ranges. The performance of the system can be improved further by analyzing the information in the low frequency range. 2014-05-22T07:52:40Z 2014-05-22T07:52:40Z 2012-10 Working Paper p. 82-86 978-1-4673-1649-1 (Print) 978-1-4673-1704-7 (Online) 1985-5753 http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6408370 http://dspace.unimap.edu.my:80/dspace/handle/123456789/34637 http://dx.doi.org/10.1109/STUDENT.2012.6408370 en Proceeding of The 3rd IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT 2012); IEEE Conference Publications |
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| language |
English |
| topic |
Electrocardiogram signals Emotions Empirical Mode Decomposition (EMD) Hilbert Huang Transform (HHT) |
| spellingShingle |
Electrocardiogram signals Emotions Empirical Mode Decomposition (EMD) Hilbert Huang Transform (HHT) Selvaraj, Jerritta Murugappan, M., Dr. Wan Khairunizam, Wan Ahmad, Dr. Sazali, Yaacob, Prof. Dr. Emotion recognition from electrocardiogram signals using Hilbert Huang Transform |
| description |
Proceeding of The 3rd IEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT 2012) at Kuala Lumpur, Malaysia on 6 October 2012 through 9 October 2012. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jsp |
| author2 |
sn.jerritta@gmail.com |
| author_facet |
sn.jerritta@gmail.com Selvaraj, Jerritta Murugappan, M., Dr. Wan Khairunizam, Wan Ahmad, Dr. Sazali, Yaacob, Prof. Dr. |
| format |
Working Paper |
| author |
Selvaraj, Jerritta Murugappan, M., Dr. Wan Khairunizam, Wan Ahmad, Dr. Sazali, Yaacob, Prof. Dr. |
| author_sort |
Selvaraj, Jerritta |
| title |
Emotion recognition from electrocardiogram signals using Hilbert Huang Transform |
| title_short |
Emotion recognition from electrocardiogram signals using Hilbert Huang Transform |
| title_full |
Emotion recognition from electrocardiogram signals using Hilbert Huang Transform |
| title_fullStr |
Emotion recognition from electrocardiogram signals using Hilbert Huang Transform |
| title_full_unstemmed |
Emotion recognition from electrocardiogram signals using Hilbert Huang Transform |
| title_sort |
emotion recognition from electrocardiogram signals using hilbert huang transform |
| publisher |
IEEE Conference Publications |
| publishDate |
2014 |
| url |
http://dspace.unimap.edu.my:80/dspace/handle/123456789/34637 |
| _version_ |
1643797551291301888 |
| score |
13.214268 |