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Infant pain detection with homomorphic filter and fuzzy k-NN classifier

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Main Authors: Muhammad Naufal, Mansor, Ahmad Kadri, Junoh, Amran, Ahmed, Kamarudin, Hussin, Brig. Jen. Dato' Prof. Dr., Azrini, Idris
Other Authors: apairia@yahoo.com
Format: Article
Language:English
Published: Trans Tech Publications (TTP) 2015
Subjects:
Fuzzy k-NN classifier
Homomorphic filter
Infant pain
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/38989
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spelling my.unimap-389892016-06-12T14:13:37Z Infant pain detection with homomorphic filter and fuzzy k-NN classifier Muhammad Naufal, Mansor Ahmad Kadri, Junoh Amran, Ahmed Kamarudin, Hussin, Brig. Jen. Dato' Prof. Dr. Azrini, Idris apairia@yahoo.com kadri@unimap.edu.my amranahmed@unimap.edu.my kamarudin@unimap.edu.my azrinidris@yahoo.com.my Fuzzy k-NN classifier Homomorphic filter Infant pain Link to publisher's homepage at http://www.ttp.net/ Newborn pain is a non-stationary made by babies in reaction to certain circumstances. This infant facial expression can be used to recognize physical or psychology condition of newborn. The goal of this study is to evaluate the performance of illumination levels for infant pain classification. Local Binary Pattern (LBP) features are computed at Fuzzy k-NN classifier. Eight different performance measurements such as Sensitivity, Specificity, Accuracy, Area under Curve (AUC), Cohen's kappa (k), Precession, F-Measure and Time Consumption are performed. Fuzzy k-NN classifier is employed to classify the newborn pain. The outcomes accentuated that the suggested features and classification algorithms can be employed to assist the medical professionals for diagnosing pathological condition of newborn pain. 2015-02-23T12:43:36Z 2015-02-23T12:43:36Z 2014-08 Article Advanced Materials Research, vol.1016, 2014, pages 807-813 1662-8985 http://dspace.unimap.edu.my:80/xmlui/handle/123456789/38989 http://www.scientific.net/AMR.1016.807 10.4028/www.scientific.net/AMR.1016.807 en Trans Tech Publications (TTP)
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 Fuzzy k-NN classifier
Homomorphic filter
Infant pain
spellingShingle Fuzzy k-NN classifier
Homomorphic filter
Infant pain
Muhammad Naufal, Mansor
Ahmad Kadri, Junoh
Amran, Ahmed
Kamarudin, Hussin, Brig. Jen. Dato' Prof. Dr.
Azrini, Idris
Infant pain detection with homomorphic filter and fuzzy k-NN classifier
description Link to publisher's homepage at http://www.ttp.net/
author2 apairia@yahoo.com
author_facet apairia@yahoo.com
Muhammad Naufal, Mansor
Ahmad Kadri, Junoh
Amran, Ahmed
Kamarudin, Hussin, Brig. Jen. Dato' Prof. Dr.
Azrini, Idris
format Article
author Muhammad Naufal, Mansor
Ahmad Kadri, Junoh
Amran, Ahmed
Kamarudin, Hussin, Brig. Jen. Dato' Prof. Dr.
Azrini, Idris
author_sort Muhammad Naufal, Mansor
title Infant pain detection with homomorphic filter and fuzzy k-NN classifier
title_short Infant pain detection with homomorphic filter and fuzzy k-NN classifier
title_full Infant pain detection with homomorphic filter and fuzzy k-NN classifier
title_fullStr Infant pain detection with homomorphic filter and fuzzy k-NN classifier
title_full_unstemmed Infant pain detection with homomorphic filter and fuzzy k-NN classifier
title_sort infant pain detection with homomorphic filter and fuzzy k-nn classifier
publisher Trans Tech Publications (TTP)
publishDate 2015
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/38989
_version_ 1643798933985558528
score 13.222552

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