DocumentCode :
1632386
Title :
Fuzzy k-NN for choke infant detection
Author :
Mansor, Muhammad Naufal ; Jamil, Shahryull Hi-Fi Syam Mohd ; Rejab, Mohd Nazri ; Jamil, Addzrull Hi-Fi Syam Mohd
Author_Institution :
Intell. Signal Process. Group (ISP), Univ. Malaysia Perils, Seriab, Malaysia
Volume :
2
fYear :
2012
Firstpage :
349
Lastpage :
351
Abstract :
This paper come out with an infant behaviour recognition scheme based on neural network. In this study, the infant face region is segmented based on the Haar Cascade Method. Two types of features, namely Singular Value Decomposition (SVD) and Power Spectrum are then calculated based on the information available from the infant face regions. Since each type of features in turn contains several different values, given a single fifteen-frame sequence, the correlation coefficients between those features of the same type can form the attribute vector of pain and normal facial expressions. Fifteen infant facial expression classes have been defined in this study. Fuzzy k-NN corresponding to each type of those features has been constructed in order to classify these facial expressions. The experimental results show that the proposed method is robust and efficient. The properties of the different types of features have also been analyzed and discussed.
Keywords :
Haar transforms; behavioural sciences computing; face recognition; feature extraction; fuzzy neural nets; image classification; image segmentation; medical image processing; paediatrics; singular value decomposition; Haar cascade method; SVD; choke infant detection; correlation coefficients; fifteen-frame sequence; fuzzy k-NN; infant behaviour recognition scheme; infant face region; infant facial expression; neural network; pain facial expressions; power spectrum; singular value decomposition; Face; Face detection; Face recognition; Feature extraction; Mouth; Pain; Skin; Fuzzy k-NN; Infant behavior; SVD and Power Spectrum;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation & Measurement, Sensor Network and Automation (IMSNA), 2012 International Symposium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4673-2465-6
Type :
conf
DOI :
10.1109/MSNA.2012.6324590
Filename :
6324590
Link To Document :
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