EMOTION RECOGNITION BASED ON VARIOUS PHYSIOLOGICAL SIGNALS - A REVIEW

Emotion recognition is one of the biggest challenges in human-human and human-computer interaction. There are various approaches to recognize emotions like facial expression, audio signals, body poses, and gestures etc. Physiological signals play vital role in emotion recognition as they are not con...

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Main Authors: Supriya Londhe, Rushikesh Borse
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2018-09-01
Series:ICTACT Journal on Communication Technology
Subjects:
Online Access:http://ictactjournals.in/ArticleDetails.aspx?id=3595
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author Supriya Londhe
Rushikesh Borse
author_facet Supriya Londhe
Rushikesh Borse
author_sort Supriya Londhe
collection DOAJ
description Emotion recognition is one of the biggest challenges in human-human and human-computer interaction. There are various approaches to recognize emotions like facial expression, audio signals, body poses, and gestures etc. Physiological signals play vital role in emotion recognition as they are not controllable and are of immediate response type. In this paper, we discuss the research done on emotion recognition using skin conductance, skin temperature, electrocardiogram (ECG), electromyography (EMG), and electroencephalogram (EEG) signals. Altogether, the same methodology has been adopted for emotion recognition techniques based upon various physiological signals. After survey, it is understood that none of these methods are fully efficient standalone but the efficiency can be improved by using combination of physiological signals. The study of this paper provides an insight on the current state of research and challenges faced during emotion recognition using physiological signals, so that research can be advanced for better recognition.
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spelling doaj.art-4dd3d8bc09f744b1af451b20d2be9cc32022-12-22T00:24:10ZengICT Academy of Tamil NaduICTACT Journal on Communication Technology0976-00912229-69482018-09-01931815182210.21917/ijct.2018.0265EMOTION RECOGNITION BASED ON VARIOUS PHYSIOLOGICAL SIGNALS - A REVIEWSupriya Londhe0Rushikesh Borse1Giesecke and Devrient MS India Private Limited, IndiaMIT Academy of Engineering, IndiaEmotion recognition is one of the biggest challenges in human-human and human-computer interaction. There are various approaches to recognize emotions like facial expression, audio signals, body poses, and gestures etc. Physiological signals play vital role in emotion recognition as they are not controllable and are of immediate response type. In this paper, we discuss the research done on emotion recognition using skin conductance, skin temperature, electrocardiogram (ECG), electromyography (EMG), and electroencephalogram (EEG) signals. Altogether, the same methodology has been adopted for emotion recognition techniques based upon various physiological signals. After survey, it is understood that none of these methods are fully efficient standalone but the efficiency can be improved by using combination of physiological signals. The study of this paper provides an insight on the current state of research and challenges faced during emotion recognition using physiological signals, so that research can be advanced for better recognition.http://ictactjournals.in/ArticleDetails.aspx?id=3595Physiological SignalsSkin ConductanceEMGECGEEG
spellingShingle Supriya Londhe
Rushikesh Borse
EMOTION RECOGNITION BASED ON VARIOUS PHYSIOLOGICAL SIGNALS - A REVIEW
ICTACT Journal on Communication Technology
Physiological Signals
Skin Conductance
EMG
ECG
EEG
title EMOTION RECOGNITION BASED ON VARIOUS PHYSIOLOGICAL SIGNALS - A REVIEW
title_full EMOTION RECOGNITION BASED ON VARIOUS PHYSIOLOGICAL SIGNALS - A REVIEW
title_fullStr EMOTION RECOGNITION BASED ON VARIOUS PHYSIOLOGICAL SIGNALS - A REVIEW
title_full_unstemmed EMOTION RECOGNITION BASED ON VARIOUS PHYSIOLOGICAL SIGNALS - A REVIEW
title_short EMOTION RECOGNITION BASED ON VARIOUS PHYSIOLOGICAL SIGNALS - A REVIEW
title_sort emotion recognition based on various physiological signals a review
topic Physiological Signals
Skin Conductance
EMG
ECG
EEG
url http://ictactjournals.in/ArticleDetails.aspx?id=3595
work_keys_str_mv AT supriyalondhe emotionrecognitionbasedonvariousphysiologicalsignalsareview
AT rushikeshborse emotionrecognitionbasedonvariousphysiologicalsignalsareview