Emotion and mood recognition in response to video

This paper presents a subject-dependent homogenous emotion recognition method using electroencephalogram (EEG) signals in response to video contents, and a correlation between emotions and moods of subjects in resting state. In the recent years, there has been a trend towards recognizing emotions...

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Main Authors:	Dwi Handayani, Dini Oktarina, Abdul Rahman, Abdul Wahab, Yaacob, Hamwira Sakti
Format:	Article
Language:	English
Published:	Rinton Press Inc. 2015
Subjects:	BF511 Affection. Feeling. Emotion T Technology (General)
Online Access:	http://irep.iium.edu.my/48698/ http://irep.iium.edu.my/48698/ http://irep.iium.edu.my/48698/1/Emotion_and_mood_recognition_in_response_to_video.pdf

id	iium-48698
recordtype	eprints
spelling	iium-486982016-06-06T16:19:41Z http://irep.iium.edu.my/48698/ Emotion and mood recognition in response to video Dwi Handayani, Dini Oktarina Abdul Rahman, Abdul Wahab Yaacob, Hamwira Sakti BF511 Affection. Feeling. Emotion T Technology (General) This paper presents a subject-dependent homogenous emotion recognition method using electroencephalogram (EEG) signals in response to video contents, and a correlation between emotions and moods of subjects in resting state. In the recent years, there has been a trend towards recognizing emotions invoked from watching videos. Thus, in this study, two video clips with explicit emotional contents from movies and online resources were used, and the EEG results were recorded from four subjects as they watched these clips. The best accuracies of 60.71% for valence and 63.73% for arousal were obtained using a Mel-frequency cepstral coefficients (MFCC) and multilayer perceptron (MLP). The results show that MFCC and MLP techniques are applicable in emotion recognition. The result shows that the mood can be recognized from opened eyes or closed eyes experiment of a subject. Furthermore, the results demonstrated that a positive video content can stimulate a subject into being in positive emotional state even when the subject was in bad mood. The emotional state in response to watching a video was shown to be correlated with Self-Assessment Manikin analysis. Rinton Press Inc. 2015-11-30 Article PeerReviewed application/pdf en http://irep.iium.edu.my/48698/1/Emotion_and_mood_recognition_in_response_to_video.pdf Dwi Handayani, Dini Oktarina and Abdul Rahman, Abdul Wahab and Yaacob, Hamwira Sakti (2015) Emotion and mood recognition in response to video. Journal of Mobile Multimedia, 11 (3&4). pp. 296-312. ISSN 1550-4646 http://www.rintonpress.com/journals/jmmonline.html#v11n34
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	BF511 Affection. Feeling. Emotion T Technology (General)
spellingShingle	BF511 Affection. Feeling. Emotion T Technology (General) Dwi Handayani, Dini Oktarina Abdul Rahman, Abdul Wahab Yaacob, Hamwira Sakti Emotion and mood recognition in response to video
description	This paper presents a subject-dependent homogenous emotion recognition method using electroencephalogram (EEG) signals in response to video contents, and a correlation between emotions and moods of subjects in resting state. In the recent years, there has been a trend towards recognizing emotions invoked from watching videos. Thus, in this study, two video clips with explicit emotional contents from movies and online resources were used, and the EEG results were recorded from four subjects as they watched these clips. The best accuracies of 60.71% for valence and 63.73% for arousal were obtained using a Mel-frequency cepstral coefficients (MFCC) and multilayer perceptron (MLP). The results show that MFCC and MLP techniques are applicable in emotion recognition. The result shows that the mood can be recognized from opened eyes or closed eyes experiment of a subject. Furthermore, the results demonstrated that a positive video content can stimulate a subject into being in positive emotional state even when the subject was in bad mood. The emotional state in response to watching a video was shown to be correlated with Self-Assessment Manikin analysis.
format	Article
author	Dwi Handayani, Dini Oktarina Abdul Rahman, Abdul Wahab Yaacob, Hamwira Sakti
author_facet	Dwi Handayani, Dini Oktarina Abdul Rahman, Abdul Wahab Yaacob, Hamwira Sakti
author_sort	Dwi Handayani, Dini Oktarina
title	Emotion and mood recognition in response to video
title_short	Emotion and mood recognition in response to video
title_full	Emotion and mood recognition in response to video
title_fullStr	Emotion and mood recognition in response to video
title_full_unstemmed	Emotion and mood recognition in response to video
title_sort	emotion and mood recognition in response to video
publisher	Rinton Press Inc.
publishDate	2015
url	http://irep.iium.edu.my/48698/ http://irep.iium.edu.my/48698/ http://irep.iium.edu.my/48698/1/Emotion_and_mood_recognition_in_response_to_video.pdf
first_indexed	2023-09-18T21:09:02Z
last_indexed	2023-09-18T21:09:02Z
_version_	1777411127822516224

Emotion and mood recognition in response to video

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