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Physiological signals based human emotion recognition: A review

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Main Authors: S., Jerritta, M., Murugappan, Ramachandran, Nagarajan, Prof. Dr., Wan Khairunizam, Wan Ahmad, Dr.
Other Authors: sn.jerritta@gmail.com
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2011
Subjects:
Emotion
Inducement Stimuli
Physiological signals
Signal processing techniques
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/15112
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spelling my.unimap-151122011-10-28T01:51:40Z Physiological signals based human emotion recognition: A review S., Jerritta M., Murugappan Ramachandran, Nagarajan, Prof. Dr. Wan Khairunizam, Wan Ahmad, Dr. sn.jerritta@gmail.com murugappan@unimap.edu.my nagarajan@unimap.edu.my khairunizam@unimap.edu.my Emotion Inducement Stimuli Physiological signals Signal processing techniques Link to publisher's homepage at http://ieeexplore.ieee.org/ Recent research in the field of Human Computer Interaction aims at recognizing the user's emotional state in order to provide a smooth interface between humans and computers. This would make life easier and can be used in vast applications involving areas such as education, medicine etc. Human emotions can be recognized by several approaches such as gesture, facial images, physiological signals and neuro imaging methods. Most of the researchers have developed user dependent emotion recognition system and achieved maximum classification rate. Very few researchers have tried to develop a user independent system and obtained lower classification rate. Efficient emotion stimulus method, larger data samples and intelligent signal processing techniques are essential for improving the classification rate of the user independent system. In this paper, we present a review on emotion recognition using physiological signals. The various theories on emotion, emotion recognition methodology and the current advancements in emotion research are discussed in subsequent topics. This would provide an insight on the current state of research and its challenges on emotion recognition using physiological signals, so that research can be advanced to obtain better recognition. 2011-10-28T01:51:40Z 2011-10-28T01:51:40Z 2011-03-04 Working Paper p. 410 - 415 978-1-6128-4414-5 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5759912 http://hdl.handle.net/123456789/15112 en Proceedings of the 7th International Colloquium on Signal Processing and Its Applications (CSPA 2011) Institute of Electrical and Electronics Engineers (IEEE)
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 Emotion
Inducement Stimuli
Physiological signals
Signal processing techniques
spellingShingle Emotion
Inducement Stimuli
Physiological signals
Signal processing techniques
S., Jerritta
M., Murugappan
Ramachandran, Nagarajan, Prof. Dr.
Wan Khairunizam, Wan Ahmad, Dr.
Physiological signals based human emotion recognition: A review
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 sn.jerritta@gmail.com
author_facet sn.jerritta@gmail.com
S., Jerritta
M., Murugappan
Ramachandran, Nagarajan, Prof. Dr.
Wan Khairunizam, Wan Ahmad, Dr.
format Working Paper
author S., Jerritta
M., Murugappan
Ramachandran, Nagarajan, Prof. Dr.
Wan Khairunizam, Wan Ahmad, Dr.
author_sort S., Jerritta
title Physiological signals based human emotion recognition: A review
title_short Physiological signals based human emotion recognition: A review
title_full Physiological signals based human emotion recognition: A review
title_fullStr Physiological signals based human emotion recognition: A review
title_full_unstemmed Physiological signals based human emotion recognition: A review
title_sort physiological signals based human emotion recognition: a review
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/15112
_version_ 1643790838944235520
score 13.222552

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