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Electrocardiogram-based emotion recognition system using empirical mode decomposition and discrete fourier transform

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Main Authors: Jerritta, S., Murugappan, Muthusamy, Dr., Wan Khairunizam, Wan Ahmad, Dr., Sazali, Yaacob, Prof. Dr.
Other Authors: sn.jerritta@gmail.com
Format: Article
Language:English
Published: John Wiley & Sons, Inc. 2014
Subjects:
Human–computer interaction
Emotion recognition
Empirical mode decomposition
Electrocardiogram (ECG)
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/36091
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spelling my.unimap-360912014-07-08T06:32:45Z Electrocardiogram-based emotion recognition system using empirical mode decomposition and discrete fourier transform Jerritta, S. Murugappan, Muthusamy, Dr. Wan Khairunizam, Wan Ahmad, Dr. Sazali, Yaacob, Prof. Dr. sn.jerritta@gmail.com Human–computer interaction Emotion recognition Empirical mode decomposition Electrocardiogram (ECG) Link to publisher's homepage at http://onlinelibrary.wiley.com Emotion recognition using physiological signals has gained momentum in the field of human computer–interaction. This work focuses on developing a user-independent emotion recognition system that would classify five emotions (happiness, sadness, fear, surprise and disgust) and neutral state. The various stages such as design of emotion elicitation protocol, data acquisition, pre-processing, feature extraction and classification are discussed. Emotional data were obtained from 30 undergraduate students by using emotional video clips. Power and entropy features were obtained in three ways – by decomposing and reconstructing the signal using empirical mode decomposition, by using a Hilbert–Huang transform and by applying a discrete Fourier transform to the intrinsic mode functions (IMFs). Statistical analysis using analysis of variance indicates significant differences among the six emotional states (p < 0.001). Classification results indicate that applying the discrete Fourier transform instead of the Hilbert transform to the IMFs provides comparatively better accuracy for all the six classes with an overall accuracy of 52%. Although the accuracy is less, it reveals the possibility of developing a system that could identify the six emotional states in a user-independent manner using electrocardiogram signals. The accuracy of the system can be improved by investigating the power and entropy of the individual IMFs. 2014-07-08T06:31:50Z 2014-07-08T06:31:50Z 2014 Article Expert Systems, vol.31(2), 2014, pages 110–120 1468-0394 http://dspace.unimap.edu.my:80/dspace/handle/123456789/36091 http://onlinelibrary.wiley.com/doi/10.1111/exsy.12014/abstract en John Wiley & Sons, Inc.
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 Human–computer interaction
Emotion recognition
Empirical mode decomposition
Electrocardiogram (ECG)
spellingShingle Human–computer interaction
Emotion recognition
Empirical mode decomposition
Electrocardiogram (ECG)
Jerritta, S.
Murugappan, Muthusamy, Dr.
Wan Khairunizam, Wan Ahmad, Dr.
Sazali, Yaacob, Prof. Dr.
Electrocardiogram-based emotion recognition system using empirical mode decomposition and discrete fourier transform
description Link to publisher's homepage at http://onlinelibrary.wiley.com
author2 sn.jerritta@gmail.com
author_facet sn.jerritta@gmail.com
Jerritta, S.
Murugappan, Muthusamy, Dr.
Wan Khairunizam, Wan Ahmad, Dr.
Sazali, Yaacob, Prof. Dr.
format Article
author Jerritta, S.
Murugappan, Muthusamy, Dr.
Wan Khairunizam, Wan Ahmad, Dr.
Sazali, Yaacob, Prof. Dr.
author_sort Jerritta, S.
title Electrocardiogram-based emotion recognition system using empirical mode decomposition and discrete fourier transform
title_short Electrocardiogram-based emotion recognition system using empirical mode decomposition and discrete fourier transform
title_full Electrocardiogram-based emotion recognition system using empirical mode decomposition and discrete fourier transform
title_fullStr Electrocardiogram-based emotion recognition system using empirical mode decomposition and discrete fourier transform
title_full_unstemmed Electrocardiogram-based emotion recognition system using empirical mode decomposition and discrete fourier transform
title_sort electrocardiogram-based emotion recognition system using empirical mode decomposition and discrete fourier transform
publisher John Wiley & Sons, Inc.
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/36091
_version_ 1643798008513429504
score 13.226497

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