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Neural network performance comparison in infant pain expression classifications

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Main Authors: Muhammad Naufal, Mansor, Mohd Nazri, Rejab
Other Authors: apairia@yahoo.com
Format: Article
Language:English
Published: Trans Tech Publications 2014
Subjects:
DCT
FFT
GRNN classifier
Infant pain
PNN
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33463
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spelling my.unimap-334632014-04-07T04:52:25Z Neural network performance comparison in infant pain expression classifications Muhammad Naufal, Mansor Mohd Nazri, Rejab apairia@yahoo.com nazri_554@yahoo.com DCT FFT GRNN classifier Infant pain PNN Link to publisher's homepage at http://www.ttp.net/ Infant pain is a non-stationary made by infants in response to certain situations. This infant facial expression can be used to identify physical or psychology status of infant. The aim of this work is to compare the performance of features in infant pain classification. Fast Fourier Transform (FFT), and Singular value Decomposition (SVD) features are computed at different classifier. Two different case studies such as normal and pain are performed. Two different types of radial basis artificial neural networks namely, Probabilistic Neural Network (PNN) and General Regression Neural Network (GRNN) are used to classify the infant pain. The results emphasized that the proposed features and classification algorithms can be used to aid the medical professionals for diagnosing pathological status of infant pain. 2014-04-07T04:52:25Z 2014-04-07T04:52:25Z 2014 Article Applied Mechanics and Materials, vol.475-476, 2014, pages 1104-1109 1624-1628 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33463 http://www.scientific.net/AMM.475-476.1104 10.4028/www.scientific.net/AMM.475-476.1104 en Trans Tech Publications
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 DCT
FFT
GRNN classifier
Infant pain
PNN
spellingShingle DCT
FFT
GRNN classifier
Infant pain
PNN
Muhammad Naufal, Mansor
Mohd Nazri, Rejab
Neural network performance comparison in infant pain expression classifications
description Link to publisher's homepage at http://www.ttp.net/
author2 apairia@yahoo.com
author_facet apairia@yahoo.com
Muhammad Naufal, Mansor
Mohd Nazri, Rejab
format Article
author Muhammad Naufal, Mansor
Mohd Nazri, Rejab
author_sort Muhammad Naufal, Mansor
title Neural network performance comparison in infant pain expression classifications
title_short Neural network performance comparison in infant pain expression classifications
title_full Neural network performance comparison in infant pain expression classifications
title_fullStr Neural network performance comparison in infant pain expression classifications
title_full_unstemmed Neural network performance comparison in infant pain expression classifications
title_sort neural network performance comparison in infant pain expression classifications
publisher Trans Tech Publications
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/33463
_version_ 1643797191535362048
score 13.214268

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