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Detection of facial changes for ICU patients using KNN classifier

Proceeding of The International Conference on Intelligent and Advanced Systems 2010,(ICIAS 2010) at Kuala Lumpur, Malaysian from 15 June 2010 through 17 June 2010

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Main Authors: Muhammad Naufal, Mansor, Sazali, Yaacob, Prof. Dr., Nagarajan, Ramachandran, Che, Lim Sin, Hariharan, Muthusamy, Dr., Muhd Ezanuddin, Abdul Aziz
Other Authors: apairia@yahoo.com
Format: Working Paper
Language:English
Published: 2014
Subjects:
Detection of facial changes
ICU patient
K-NN classifier
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/34367
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spelling my.unimap-343672014-05-08T04:15:21Z Detection of facial changes for ICU patients using KNN classifier Muhammad Naufal, Mansor Sazali, Yaacob, Prof. Dr. Nagarajan, Ramachandran Che, Lim Sin Hariharan, Muthusamy, Dr. Muhd Ezanuddin, Abdul Aziz apairia@yahoo.com s.yaacob@unimap.edu.my nagarajan@unimap.edu.my sclim3@gmail.com hari@unimap.edu.my ejan9ronaldo@yahoo.com Detection of facial changes ICU patient K-NN classifier Proceeding of The International Conference on Intelligent and Advanced Systems 2010,(ICIAS 2010) at Kuala Lumpur, Malaysian from 15 June 2010 through 17 June 2010 This paper presents an integrated system for detecting facial changes of patient in a hospital in Intensive Care Unit(ICU).In this research we have considered the facial changes most widely represented by eyes and mouth movements. The proposed system uses color images and it consists of three modules.The first module implements skin detection to detect the face.The second module constructs eye and mouth maps that are responsible for changes in eye and mouth regions.The third module extracts the features of eyes and mouth by processing the image and measuring certain demensions of eyes and mouth regions. Finally the result of this work shows that the (k-NN) can be used for used to classify the awake ness with the average accuracy of 94%. 2014-05-08T04:15:21Z 2014-05-08T04:15:21Z 2010-06 Working Paper p. 1-5 978-1-4244-6623-8 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=5716252&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5716252 http://dspace.unimap.edu.my:80/dspace/handle/123456789/34367 http://dx.doi.org/10.1109/ICIAS.2010.5716252 en Proceeding of The International Conference on Intelligent and Advanced Systems 2010 (ICIAS 2010);
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 Detection of facial changes
ICU patient
K-NN classifier
spellingShingle Detection of facial changes
ICU patient
K-NN classifier
Muhammad Naufal, Mansor
Sazali, Yaacob, Prof. Dr.
Nagarajan, Ramachandran
Che, Lim Sin
Hariharan, Muthusamy, Dr.
Muhd Ezanuddin, Abdul Aziz
Detection of facial changes for ICU patients using KNN classifier
description Proceeding of The International Conference on Intelligent and Advanced Systems 2010,(ICIAS 2010) at Kuala Lumpur, Malaysian from 15 June 2010 through 17 June 2010
author2 apairia@yahoo.com
author_facet apairia@yahoo.com
Muhammad Naufal, Mansor
Sazali, Yaacob, Prof. Dr.
Nagarajan, Ramachandran
Che, Lim Sin
Hariharan, Muthusamy, Dr.
Muhd Ezanuddin, Abdul Aziz
format Working Paper
author Muhammad Naufal, Mansor
Sazali, Yaacob, Prof. Dr.
Nagarajan, Ramachandran
Che, Lim Sin
Hariharan, Muthusamy, Dr.
Muhd Ezanuddin, Abdul Aziz
author_sort Muhammad Naufal, Mansor
title Detection of facial changes for ICU patients using KNN classifier
title_short Detection of facial changes for ICU patients using KNN classifier
title_full Detection of facial changes for ICU patients using KNN classifier
title_fullStr Detection of facial changes for ICU patients using KNN classifier
title_full_unstemmed Detection of facial changes for ICU patients using KNN classifier
title_sort detection of facial changes for icu patients using knn classifier
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/34367
_version_ 1643797460051558400
score 13.222552

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