Fast infant pain detection method

Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/26562

Title:	Fast infant pain detection method
Authors:	Muhammad Naufal, Mansor Syahryull Hi-Fi Syam, Ahmad Jamil Ahmad Kadri, Junoh Muhammad Nazri, Rejab Addzrull Hi-Fi Syam, Ahmad Jamil Jamaluddin, Ahmad apairia@yahoo.com syahrull30@yahoo.com kadri@unimap.edu.my nazri_554@yahoo.com azrulhifisyam@yahoo.com drjamaluddin@pls.moh.gov.my
Keywords:	Detection of facial changes NICU patient Support Vector Machine classifier
Issue Date:	3-Jul-2012
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Citation:	p. 918-921
Series/Report no.:	Proceedings of the International Conference on Computer and Communication Engineering (ICCCE 2012)
Abstract:	within this paper, pain detection is exposed and reviewed for detecting facial changes of patient in a hospital in Neonatal Intensive Care Unit (NICU). The system propesed three stage. The first stage implements Haar Cascade detection to detect the infant face. Secondly, PCA was employed for feature extraction. The third module extracts the PCA features of faces by measuring certain dimensions of pain and no pain regions with Support Vector Machine classifier. From 300 samples of face images, it is found that the identification rate of reaches 93.18%.
Description:	Link to publisher's homepage at http://ieeexplore.ieee.org
URI:	http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6271350 http://dspace.unimap.edu.my/123456789/26562
ISBN:	978-146730478-8
Appears in Collections:	Conference Papers

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