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Infant hungry recognition based on neural network and AR model

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Bibliographic Details
Main Authors: Muhammad Naufal, Mansor, Syahryull Hi-Fi Syam, Ahmad Jamil, Muhammad Nazri, Rejab, Addzrull Hi-Fi Syam, Ahmad Jamil
Other Authors: apairia@yahoo.com
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2013
Subjects:
Autoregressive Model (AR)
Detection of facial changes
Neural Network classifier
NICU patient
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/26563
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id my.unimap-26563
record_format dspace
spelling my.unimap-265632013-07-10T07:58:10Z Infant hungry recognition based on neural network and AR model Muhammad Naufal, Mansor Syahryull Hi-Fi Syam, Ahmad Jamil Muhammad Nazri, Rejab Addzrull Hi-Fi Syam, Ahmad Jamil apairia@yahoo.com syahrull30@yahoo.com nazri_554@yahoo.com azrulhifisyam@yahoo.com Autoregressive Model (AR) Detection of facial changes Neural Network classifier NICU patient Link to publisher's homepage at http://ieeexplore.ieee.org To deal with nonverbal life was a difficult task. To study their behaviour without knowing what their needs is another crucial issue. A lot of researches have been rapidly investigated. Thus, in this paper we proudly proposed a system to determine the hungry infant based on their facial expression. A Haar Cascade face detection method was implemented. Autoregressive Model (AR) was employed for the coefficient extraction. Some other statistical methods were used as the feature extraction. Finally Neural network (NN) with 93.78% accuracy was accepted. 2013-07-10T07:58:09Z 2013-07-10T07:58:09Z 2012-08-25 Working Paper p. 368-370 978-146732467-0 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6324596 http://hdl.handle.net/123456789/26563 en Proceedings of the International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA 2012) Institute of Electrical and Electronics Engineers (IEEE)
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 Autoregressive Model (AR)
Detection of facial changes
Neural Network classifier
NICU patient
spellingShingle Autoregressive Model (AR)
Detection of facial changes
Neural Network classifier
NICU patient
Muhammad Naufal, Mansor
Syahryull Hi-Fi Syam, Ahmad Jamil
Muhammad Nazri, Rejab
Addzrull Hi-Fi Syam, Ahmad Jamil
Infant hungry recognition based on neural network and AR model
description Link to publisher's homepage at http://ieeexplore.ieee.org
author2 apairia@yahoo.com
author_facet apairia@yahoo.com
Muhammad Naufal, Mansor
Syahryull Hi-Fi Syam, Ahmad Jamil
Muhammad Nazri, Rejab
Addzrull Hi-Fi Syam, Ahmad Jamil
format Working Paper
author Muhammad Naufal, Mansor
Syahryull Hi-Fi Syam, Ahmad Jamil
Muhammad Nazri, Rejab
Addzrull Hi-Fi Syam, Ahmad Jamil
author_sort Muhammad Naufal, Mansor
title Infant hungry recognition based on neural network and AR model
title_short Infant hungry recognition based on neural network and AR model
title_full Infant hungry recognition based on neural network and AR model
title_fullStr Infant hungry recognition based on neural network and AR model
title_full_unstemmed Infant hungry recognition based on neural network and AR model
title_sort infant hungry recognition based on neural network and ar model
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/26563
_version_ 1643794987676073984
score 13.214268

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