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Detection of facial changes for hospital ICU patients using neural network

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Main Authors: Muhammad Naufal, Mansor, Sazali, Yaacob, Prof. Dr., Ramachandran, Nagarajan, Prof. Dr., Muthusamy, Hariharan
Other Authors: apairia@yahoo.com
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2010
Subjects:
Detection of facial changes
ICU patient
Neural Network classifier
Intensive Care Unit (ICU)
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/10172
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spelling my.unimap-101722010-11-26T04:07:40Z Detection of facial changes for hospital ICU patients using neural network Muhammad Naufal, Mansor Sazali, Yaacob, Prof. Dr. Ramachandran, Nagarajan, Prof. Dr. Muthusamy, Hariharan apairia@yahoo.com sazali22@yahoo.com nagarajan@unimap.edu.my wavelet.hari@gmail.com Detection of facial changes ICU patient Neural Network classifier Intensive Care Unit (ICU) Link to publisher's homepage at http://ieeexplore.ieee.org/ This paper presents an integrated system for detecting facial changes of patient in a hospital in Intensive Care Unit (ICU). The facial changes are most widely represented by eyes 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 maps that are responsible for changes in eye regions. The third module extracts the features of eyes by processing the image and measuring certain demensions of eyes regions. Finally a neural network classifier used to classify the motion of eyes either it open, half open or close. From 300 samples of face images, it is found that the maximum classification accuracy of 93.33% was obtained for the proposed features and classification technique. 2010-11-09T08:39:19Z 2010-11-09T08:39:19Z 2010-05-21 Working Paper p.1-4 978-1-4244-7121-8 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5545280 http://hdl.handle.net/123456789/10172 en Proceedings of the 6th International Colloquium on Signal Processing and Its Applications (CSPA) 2010 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 Detection of facial changes
ICU patient
Neural Network classifier
Intensive Care Unit (ICU)
spellingShingle Detection of facial changes
ICU patient
Neural Network classifier
Intensive Care Unit (ICU)
Muhammad Naufal, Mansor
Sazali, Yaacob, Prof. Dr.
Ramachandran, Nagarajan, Prof. Dr.
Muthusamy, Hariharan
Detection of facial changes for hospital ICU patients using neural network
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 apairia@yahoo.com
author_facet apairia@yahoo.com
Muhammad Naufal, Mansor
Sazali, Yaacob, Prof. Dr.
Ramachandran, Nagarajan, Prof. Dr.
Muthusamy, Hariharan
format Working Paper
author Muhammad Naufal, Mansor
Sazali, Yaacob, Prof. Dr.
Ramachandran, Nagarajan, Prof. Dr.
Muthusamy, Hariharan
author_sort Muhammad Naufal, Mansor
title Detection of facial changes for hospital ICU patients using neural network
title_short Detection of facial changes for hospital ICU patients using neural network
title_full Detection of facial changes for hospital ICU patients using neural network
title_fullStr Detection of facial changes for hospital ICU patients using neural network
title_full_unstemmed Detection of facial changes for hospital ICU patients using neural network
title_sort detection of facial changes for hospital icu patients using neural network
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2010
url http://dspace.unimap.edu.my/xmlui/handle/123456789/10172
_version_ 1643789760240549888
score 13.214268

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