Fuzzy k-NN and k-NN algorithm for fast infant cues detection
Link to publisher's homepage at http://link.springer.com/
Saved in:
| Main Authors: | , , , , , , , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Berlin Heidelberg
2014
|
| Subjects: | |
| Online Access: | http://dspace.unimap.edu.my:80/dspace/handle/123456789/33909 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
my.unimap-33909 |
|---|---|
| record_format |
dspace |
| 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 |
| _version_ |
1643797347182837760 |
| score |
13.214268 |