Fuzzy k-NN and k-NN algorithm for fast infant cues detection

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Main Authors: Muhammad Naufal, Mansor, Sazali, Yaacob, Prof. Dr., Hariharan, Muthusamy, Dr., Shafriza Nisha, Basah, Dr., Syahryull Hi-Fi Syam, Ahmad Jamil, Mohd Lutfi, Mohd Khidir, Muhammad Nazri, Rejab, Ku Mohd Yusri, Ku Ibrahim, Addzrull Hi-Fi Syam, Ahmad Jamil, Ahmad Kadri, Junoh, J., Ahmad
Other Authors: azrulhifisyam@yahoo.com
Format: Article
Language:English
Published: Springer Berlin Heidelberg 2014
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Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33909
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Institution: Universiti Malaysia Perlis
Language: English
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spelling my.unimap-339092014-04-22T08:53:06Z Fuzzy k-NN and k-NN algorithm for fast infant cues detection Muhammad Naufal, Mansor Sazali, Yaacob, Prof. Dr. Hariharan, Muthusamy, Dr. Shafriza Nisha, Basah, Dr. Syahryull Hi-Fi Syam, Ahmad Jamil Mohd Lutfi, Mohd Khidir Muhammad Nazri, Rejab Ku Mohd Yusri, Ku Ibrahim Addzrull Hi-Fi Syam, Ahmad Jamil Ahmad Kadri, Junoh J., Ahmad azrulhifisyam@yahoo.com kadri@unimap.edu.my nazri_554@yahoo.com syahrull30@yahoo.com shafriza@unimap.edu.my hari@unimap.edu.my s.yaacob@unimap.edu.my Infant cues recognition Agitation level Fuzzy k-NN classifier k-NN classifier Link to publisher's homepage at http://link.springer.com/ In this paper, tremble stage assessment is explained and reviewed for detecting facial changes of patient in a hospital in Neonatal Intensive Care Unit (NICU). 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 method to detect the face. Secondly, extracts the features of faces by processing the image and measuring certain dimensions face regions. Finally a knn and Fuzzy k- NN classifier used to classify the movements. From the experiments, it is found that the identification rate of reaches 93.30% and 70.25% respectively. 2014-04-22T08:53:06Z 2014-04-22T08:53:06Z 2013 Article World Congress on Medical Physics and Biomedical Engineering, vol. 39, 2013, pages 1260 – 1263 1680-0737 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33909 http://link.springer.com/chapter/10.1007%2F978-3-642-29305-4_330 10.1007/978-3-642-29305-4_330 en Springer Berlin Heidelberg
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Infant cues recognition
Agitation level
Fuzzy k-NN classifier
k-NN classifier
spellingShingle Infant cues recognition
Agitation level
Fuzzy k-NN classifier
k-NN classifier
Muhammad Naufal, Mansor
Sazali, Yaacob, Prof. Dr.
Hariharan, Muthusamy, Dr.
Shafriza Nisha, Basah, Dr.
Syahryull Hi-Fi Syam, Ahmad Jamil
Mohd Lutfi, Mohd Khidir
Muhammad Nazri, Rejab
Ku Mohd Yusri, Ku Ibrahim
Addzrull Hi-Fi Syam, Ahmad Jamil
Ahmad Kadri, Junoh
J., Ahmad
Fuzzy k-NN and k-NN algorithm for fast infant cues detection
description Link to publisher's homepage at http://link.springer.com/
author2 azrulhifisyam@yahoo.com
author_facet azrulhifisyam@yahoo.com
Muhammad Naufal, Mansor
Sazali, Yaacob, Prof. Dr.
Hariharan, Muthusamy, Dr.
Shafriza Nisha, Basah, Dr.
Syahryull Hi-Fi Syam, Ahmad Jamil
Mohd Lutfi, Mohd Khidir
Muhammad Nazri, Rejab
Ku Mohd Yusri, Ku Ibrahim
Addzrull Hi-Fi Syam, Ahmad Jamil
Ahmad Kadri, Junoh
J., Ahmad
format Article
author Muhammad Naufal, Mansor
Sazali, Yaacob, Prof. Dr.
Hariharan, Muthusamy, Dr.
Shafriza Nisha, Basah, Dr.
Syahryull Hi-Fi Syam, Ahmad Jamil
Mohd Lutfi, Mohd Khidir
Muhammad Nazri, Rejab
Ku Mohd Yusri, Ku Ibrahim
Addzrull Hi-Fi Syam, Ahmad Jamil
Ahmad Kadri, Junoh
J., Ahmad
author_sort Muhammad Naufal, Mansor
title Fuzzy k-NN and k-NN algorithm for fast infant cues detection
title_short Fuzzy k-NN and k-NN algorithm for fast infant cues detection
title_full Fuzzy k-NN and k-NN algorithm for fast infant cues detection
title_fullStr Fuzzy k-NN and k-NN algorithm for fast infant cues detection
title_full_unstemmed Fuzzy k-NN and k-NN algorithm for fast infant cues detection
title_sort fuzzy k-nn and k-nn algorithm for fast infant cues detection
publisher Springer Berlin Heidelberg
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/33909
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