Identification of normal and pain infants based on individual crying pattern

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Bibliographic Details
Main Author:	Ezzatul Deanna Erni, Mohamad Azmi
Other Authors:	Dr. Puteh Saad
Format:	Learning Object
Language:	English
Published:	Universiti Malaysia Perlis (UniMAP) 2016
Subjects:	Infant Crying pattern Crying pattern signal Radial Basis Function Neural Network (RBF)
Online Access:	http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41733
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Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-41733
record_format	dspace
spelling	my.unimap-417332016-05-29T07:49:21Z Identification of normal and pain infants based on individual crying pattern Ezzatul Deanna Erni, Mohamad Azmi Dr. Puteh Saad Infant Crying pattern Crying pattern signal Radial Basis Function Neural Network (RBF) Access is limited to UniMAP community. An Infant informs his or her needs to those around them by crying. It is difficult for us adults to exactly know the message associated with each crying pattern. In this endeavour, a normal cry and a cry associated with pain will be identified using a signal processing approach. There are four processes involved; first stage is to filter the signal using pre-emphasis filter, then to perform feature extraction using Melfrequency cepstral coefficient (MFCC) and finally to classify the features into normal cry pattern and pain cry pattern using Radial Basis Function Neural Network (RBF). The accuracy achieved is 92.3%. Thus, the RBF has the potential to be utilized as a classifier for crying pattern signals. 2016-05-29T07:49:21Z 2016-05-29T07:49:21Z 2015-06 Learning Object http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41733 en Universiti Malaysia Perlis (UniMAP) School of Computer and Communication Engineering
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	Infant Crying pattern Crying pattern signal Radial Basis Function Neural Network (RBF)
spellingShingle	Infant Crying pattern Crying pattern signal Radial Basis Function Neural Network (RBF) Ezzatul Deanna Erni, Mohamad Azmi Identification of normal and pain infants based on individual crying pattern
description	Access is limited to UniMAP community.
author2	Dr. Puteh Saad
author_facet	Dr. Puteh Saad Ezzatul Deanna Erni, Mohamad Azmi
format	Learning Object
author	Ezzatul Deanna Erni, Mohamad Azmi
author_sort	Ezzatul Deanna Erni, Mohamad Azmi
title	Identification of normal and pain infants based on individual crying pattern
title_short	Identification of normal and pain infants based on individual crying pattern
title_full	Identification of normal and pain infants based on individual crying pattern
title_fullStr	Identification of normal and pain infants based on individual crying pattern
title_full_unstemmed	Identification of normal and pain infants based on individual crying pattern
title_sort	identification of normal and pain infants based on individual crying pattern
publisher	Universiti Malaysia Perlis (UniMAP)
publishDate	2016
url	http://dspace.unimap.edu.my:80/xmlui/handle/123456789/41733
_version_	1643799767617110016

Identification of normal and pain infants based on individual crying pattern

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