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AR model for infant pain anxiety recognition using fuzzy k-NN

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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:
AR Model
Detection of facial changes
Fuzzy k-NN classifier
NICU patient
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/26565
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spelling my.unimap-265652013-07-10T08:15:17Z AR model for infant pain anxiety recognition using fuzzy k-NN 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 AR Model Detection of facial changes Fuzzy k-NN classifier NICU patient Link to publisher's homepage at http://ieeexplore.ieee.org Pain Assessment in Neonatal has been discussed recently nowadays. A rapid research, equipment and pain course has yet been improved. However, the robustness, accurate and fast pain scheme is yet far beyond the schedule comparing to the pain assessment for the adult patient. Thus, an infant pain detection scheme is been proposed based on Autoregressive Model (AR Model) and Fuzzy k-NN. The accuracy result is quite promising around 90.77%. 2013-07-10T08:15:17Z 2013-07-10T08:15:17Z 2012-08-25 Working Paper p. 374-376 978-146732467-0 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6324598 http://hdl.handle.net/123456789/26565 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 AR Model
Detection of facial changes
Fuzzy k-NN classifier
NICU patient
spellingShingle AR Model
Detection of facial changes
Fuzzy k-NN classifier
NICU patient
Muhammad Naufal, Mansor
Syahryull Hi-Fi Syam, Ahmad Jamil
Muhammad Nazri, Rejab
Addzrull Hi-Fi Syam, Ahmad Jamil
AR model for infant pain anxiety recognition using fuzzy k-NN
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 AR model for infant pain anxiety recognition using fuzzy k-NN
title_short AR model for infant pain anxiety recognition using fuzzy k-NN
title_full AR model for infant pain anxiety recognition using fuzzy k-NN
title_fullStr AR model for infant pain anxiety recognition using fuzzy k-NN
title_full_unstemmed AR model for infant pain anxiety recognition using fuzzy k-NN
title_sort ar model for infant pain anxiety recognition using fuzzy k-nn
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/26565
_version_ 1643794988266422272
score 13.214268

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