Emotion Modelling Using Neural Network

Emotion has become an important interface for the communication between human and machine. Human's emotion can be detected by the machine, and machine can respond to it and interact with human in a more natural and adaptive environment. This study attempts to model emotion using neural network...

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Bibliographic Details
Main Author:	Lam, Choong Kee
Format:	Thesis
Language:	eng eng
Published:	2005
Subjects:	QA71-90 Instruments and machines
Online Access:	https://etd.uum.edu.my/1252/1/LAM_CHOONG_KEE.pdf https://etd.uum.edu.my/1252/2/1.LAM_CHOONG_KEE.pdf
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id	my-uum-etd.1252
record_format	uketd_dc
spelling	my-uum-etd.12522013-07-24T12:11:08Z Emotion Modelling Using Neural Network 2005-10-25 Lam, Choong Kee Faculty of Information Technology Faculty of Information Technology QA71-90 Instruments and machines Emotion has become an important interface for the communication between human and machine. Human's emotion can be detected by the machine, and machine can respond to it and interact with human in a more natural and adaptive environment. This study attempts to model emotion using neural network technique. Six primary emotions considered in this study are anger, disgust, fear, happiness, sadness and surprise. For data preparation, front views of child facial expression images have been captured with Sony Cybershot DSC U50 digital camera and extrated using MATLAB Image Processing toolbox. A dataset consists of 120 patterns with 82 attributes and emotion targets have been gathered at the end of image processing activity. The dataset was tested on Multipayer Perceptron with backpropagation learning algorithm. The emotion model obtained in this study uses parameters such as; learning rate 0.1, momentum rate 0.1, Sigmoid activation function, 200 epoch learning stopping criteria, with its architecture, 82 input units, 10 hidden units and 6 output layer units. The Neural Network performance achieved 97.50 percent accuracy whereas the regression model obtained 66.67 percent accuracy. This result indicates that neural network has high potential to be used as emotion. 2005-10 Thesis https://etd.uum.edu.my/1252/ https://etd.uum.edu.my/1252/1/LAM_CHOONG_KEE.pdf application/pdf eng validuser https://etd.uum.edu.my/1252/2/1.LAM_CHOONG_KEE.pdf application/pdf eng public masters masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
topic	QA71-90 Instruments and machines
spellingShingle	QA71-90 Instruments and machines Lam, Choong Kee Emotion Modelling Using Neural Network
description	Emotion has become an important interface for the communication between human and machine. Human's emotion can be detected by the machine, and machine can respond to it and interact with human in a more natural and adaptive environment. This study attempts to model emotion using neural network technique. Six primary emotions considered in this study are anger, disgust, fear, happiness, sadness and surprise. For data preparation, front views of child facial expression images have been captured with Sony Cybershot DSC U50 digital camera and extrated using MATLAB Image Processing toolbox. A dataset consists of 120 patterns with 82 attributes and emotion targets have been gathered at the end of image processing activity. The dataset was tested on Multipayer Perceptron with backpropagation learning algorithm. The emotion model obtained in this study uses parameters such as; learning rate 0.1, momentum rate 0.1, Sigmoid activation function, 200 epoch learning stopping criteria, with its architecture, 82 input units, 10 hidden units and 6 output layer units. The Neural Network performance achieved 97.50 percent accuracy whereas the regression model obtained 66.67 percent accuracy. This result indicates that neural network has high potential to be used as emotion.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Lam, Choong Kee
author_facet	Lam, Choong Kee
author_sort	Lam, Choong Kee
title	Emotion Modelling Using Neural Network
title_short	Emotion Modelling Using Neural Network
title_full	Emotion Modelling Using Neural Network
title_fullStr	Emotion Modelling Using Neural Network
title_full_unstemmed	Emotion Modelling Using Neural Network
title_sort	emotion modelling using neural network
granting_institution	Universiti Utara Malaysia
granting_department	Faculty of Information Technology
publishDate	2005
url	https://etd.uum.edu.my/1252/1/LAM_CHOONG_KEE.pdf https://etd.uum.edu.my/1252/2/1.LAM_CHOONG_KEE.pdf
_version_	1747827106154283008

Emotion Modelling Using Neural Network

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