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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/26563
Title: | Infant hungry recognition based on neural network and AR model |
Authors: | Muhammad Naufal, Mansor Syahryull Hi-Fi Syam, Ahmad Jamil Muhammad Nazri, Rejab Addzrull Hi-Fi Syam, Ahmad Jamil apairia@yahoo.com syahrull30@yahoo.com nazri_554@yahoo.com azrulhifisyam@yahoo.com |
Keywords: | Autoregressive Model (AR) Detection of facial changes Neural Network classifier NICU patient |
Issue Date: | 25-Aug-2012 |
Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
Citation: | p. 368-370 |
Series/Report no.: | Proceedings of the International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA 2012) |
Abstract: | To deal with nonverbal life was a difficult task. To study their behaviour without knowing what their needs is another crucial issue. A lot of researches have been rapidly investigated. Thus, in this paper we proudly proposed a system to determine the hungry infant based on their facial expression. A Haar Cascade face detection method was implemented. Autoregressive Model (AR) was employed for the coefficient extraction. Some other statistical methods were used as the feature extraction. Finally Neural network (NN) with 93.78% accuracy was accepted. |
Description: | Link to publisher's homepage at http://ieeexplore.ieee.org |
URI: | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6324596 http://dspace.unimap.edu.my/123456789/26563 |
ISBN: | 978-146732467-0 |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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Infant hungry recognition based on neural network and AR model.pdf | 8.53 kB | Adobe PDF | View/Open |
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