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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/10172
Title: | Detection of facial changes for hospital ICU patients using neural network |
Authors: | 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 |
Keywords: | Detection of facial changes ICU patient Neural Network classifier Intensive Care Unit (ICU) |
Issue Date: | 21-May-2010 |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Citation: | p.1-4 |
Series/Report no.: | Proceedings of the 6th International Colloquium on Signal Processing and Its Applications (CSPA) 2010 |
Abstract: | 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. |
Description: | Link to publisher's homepage at http://ieeexplore.ieee.org/ |
URI: | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5545280 http://dspace.unimap.edu.my/123456789/10172 |
ISBN: | 978-1-4244-7121-8 |
Appears in Collections: | Conference Papers Sazali Yaacob, Prof. Dr. Ramachandran, Nagarajan, Prof. Dr. Hariharan Muthusamy, Dr. |
Files in This Item:
File | Description | Size | Format | |
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Detection of facial changes for hospital ICU patients using neural network.pdf | 36.34 kB | Adobe PDF | View/Open |
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