Infant hungry recognition based on k-NN and Autoregressive Model

Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/34215

Title:	Infant hungry recognition based on k-NN and Autoregressive Model
Authors:	Muhammad Naufal, Mansor Sazali, Yaacob, Prof. Dr. Hariharan, Muthusamy, Dr. Shafriza Nisha, Basah, Dr. Mohd Nazri, Rejab apairia@yahoo.com s.yaacob@unimap.edu.my hari@unimap.edu.my shafriza@unimap.edu.my
Keywords:	AR model Infant hungry recognition K-NN
Issue Date:	Nov-2013
Publisher:	American Scientific Publishers All rights reserved.
Citation:	Advanced Science Letters, vol. 19(11), 2013, pages 3289-3292
Abstract:	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 k-Nearest Neighbour (k-NN) with 96.78% accuracy was accepted.
Description:	Link to publisher's homepage at www.aspbs.com/‎
URI:	http://www.ingentaconnect.com/content/asp/asl/2013/00000019/00000011/art00037?token=004612e07a5a666f3a7b6c2a4042423b475f6648783449264f655d375c6b6876305021 http://dspace.unimap.edu.my:80/dspace/handle/123456789/34215
ISSN:	1936-6612
Appears in Collections:	School of Mechatronic Engineering (Articles) Sazali Yaacob, Prof. Dr. Hariharan Muthusamy, Dr. Shafriza Nisha Basah, Assoc. Prof. Ts. Dr.

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