Detection of facial changes for hospital ICU patients
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| Format: | Working Paper |
| Language: | en |
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Institute of Electrical and Electronics Engineers (IEEE)
2010
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| Online Access: | http://dspace.unimap.edu.my/123456789/10321 |
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| _version_ | 1831783205635620864 |
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| author | Muhammad Naufal, Mansor Sazali, Yaacob, Prof. Dr. Nagarajan, Ramachandran, Prof. Dr. Hariharan, M. |
| author2 | apairia@yahoo.com |
| author_facet | apairia@yahoo.com Muhammad Naufal, Mansor Sazali, Yaacob, Prof. Dr. Nagarajan, Ramachandran, Prof. Dr. Hariharan, M. |
| author_sort | Muhammad Naufal, Mansor |
| building | UniMAP Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Perlis |
| content_source | UniMAP Library Digital Repository |
| continent | Asia |
| country | Malaysia |
| description | Link to publisher's homepage at http://ieeexplore.ieee.org/ |
| format | Working Paper |
| id | my.unimap-10321 |
| institution | Universiti Malaysia Perlis |
| language | en |
| publishDate | 2010 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| 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://dspace.unimap.edu.my/123456789/10321 en Proceedings of the 6th International Colloquium on Signal Processing and Its Applications (CSPA) 2010 Institute of Electrical and Electronics Engineers (IEEE) |
| 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 |
| title | 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_short | Detection of facial changes for hospital ICU patients |
| title_sort | detection of facial changes for hospital icu patients |
| topic | Detection of facial changes Fuzzy classifier ICU patient Unstructed lighting |
| url | http://dspace.unimap.edu.my/123456789/10321 |
| url_provider | http://dspace.unimap.edu.my/ |