Neural network performance comparison in infant pain expression classifications
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2014
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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 |
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DCT FFT GRNN classifier Infant pain PNN |
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DCT FFT GRNN classifier Infant pain PNN Muhammad Naufal, Mansor Mohd Nazri, Rejab Neural network performance comparison in infant pain expression classifications |
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Link to publisher's homepage at http://www.ttp.net/ |
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apairia@yahoo.com |
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apairia@yahoo.com Muhammad Naufal, Mansor Mohd Nazri, Rejab |
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Article |
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Muhammad Naufal, Mansor Mohd Nazri, Rejab |
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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 |
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Neural network performance comparison in infant pain expression classifications |
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Neural network performance comparison in infant pain expression classifications |
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neural network performance comparison in infant pain expression classifications |
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Trans Tech Publications |
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2014 |
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http://dspace.unimap.edu.my:80/dspace/handle/123456789/33463 |
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