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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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Main Author: Lam, Choong Kee
Format: Thesis
Language:English
English
Published: 2005
Subjects:
QA71-90 Instruments and machines
Online Access:http://etd.uum.edu.my/1252/1/LAM_CHOONG_KEE.pdf
http://etd.uum.edu.my/1252/2/1.LAM_CHOONG_KEE.pdf
http://etd.uum.edu.my/1252/
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spelling my.uum.etd.12522013-07-24T12:11:08Z http://etd.uum.edu.my/1252/ Emotion Modelling Using Neural Network Lam, Choong Kee 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. 2005-10-25 Thesis NonPeerReviewed application/pdf en http://etd.uum.edu.my/1252/1/LAM_CHOONG_KEE.pdf application/pdf en http://etd.uum.edu.my/1252/2/1.LAM_CHOONG_KEE.pdf Lam, Choong Kee (2005) Emotion Modelling Using Neural Network. Masters thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
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
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
publishDate 2005
url http://etd.uum.edu.my/1252/1/LAM_CHOONG_KEE.pdf
http://etd.uum.edu.my/1252/2/1.LAM_CHOONG_KEE.pdf
http://etd.uum.edu.my/1252/
_version_ 1644276396341592064
score 13.211869

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