Detection of facial changes for hospital ICU patients

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Main Authors: Muhammad Naufal, Mansor, Sazali, Yaacob, Prof. Dr., Nagarajan, Ramachandran, Prof. Dr., Hariharan, M.
Other Authors: apairia@yahoo.com
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2010
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Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/10321
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spelling my.unimap-103212010-11-26T07:08:42Z Detection of facial changes for hospital ICU patients Muhammad Naufal, Mansor Sazali, Yaacob, Prof. Dr. Nagarajan, Ramachandran, Prof. Dr. Hariharan, M. apairia@yahoo.com sazali22@yahoo.com nagarajan@unimap.edu.my wavelet.hari@gmail.com Detection of facial changes Fuzzy classifier ICU patient Unstructed lighting 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 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 a fuzzy classifier used to classify the movements at different illumination levels. From 300 samples of face images, it is found that the identification rate of awakness reaches 80 %. 2010-11-26T07:08:42Z 2010-11-26T07:08:42Z 2010-05-21 Working Paper p.1-5 978-1-4244-7121-8 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5545273 http://hdl.handle.net/123456789/10321 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
Fuzzy classifier
ICU patient
Unstructed lighting
spellingShingle Detection of facial changes
Fuzzy classifier
ICU patient
Unstructed lighting
Muhammad Naufal, Mansor
Sazali, Yaacob, Prof. Dr.
Nagarajan, Ramachandran, Prof. Dr.
Hariharan, M.
Detection of facial changes for hospital ICU patients
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.
Nagarajan, Ramachandran, Prof. Dr.
Hariharan, M.
format Working Paper
author Muhammad Naufal, Mansor
Sazali, Yaacob, Prof. Dr.
Nagarajan, Ramachandran, Prof. Dr.
Hariharan, M.
author_sort Muhammad Naufal, Mansor
title Detection of facial changes for hospital ICU patients
title_short Detection of facial changes for hospital ICU patients
title_full Detection of facial changes for hospital ICU patients
title_fullStr Detection of facial changes for hospital ICU patients
title_full_unstemmed Detection of facial changes for hospital ICU patients
title_sort detection of facial changes for hospital icu patients
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2010
url http://dspace.unimap.edu.my/xmlui/handle/123456789/10321
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score 13.222552