Mean of correlation method for optimization of affective states detection in children

At the moment, most of the studies on classification of affective states for children focus on visual observations and physiological cues, where all data collection for measuring physiological signals are contact-based and invasive. With the requirement of having the measuring device attached to t...

Full description

Bibliographic Details
Main Authors:	Rusli, Nazreen, Sidek, Shahrul Na'im, Md Yusuf, Hazlina, Ishak, Nor Izzati
Format:	Article
Language:	English English
Published:	IEEE 2018
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/68664/ http://irep.iium.edu.my/68664/ http://irep.iium.edu.my/68664/ http://irep.iium.edu.my/68664/7/68664_Mean%20of%20correlation%20method%20for%20optimization_scopus.pdf http://irep.iium.edu.my/68664/12/68664_Mean%20of%20correlation%20method%20for%20optimization.pdf

id	iium-68664
recordtype	eprints
spelling	iium-686642019-07-15T02:01:12Z http://irep.iium.edu.my/68664/ Mean of correlation method for optimization of affective states detection in children Rusli, Nazreen Sidek, Shahrul Na'im Md Yusuf, Hazlina Ishak, Nor Izzati T Technology (General) At the moment, most of the studies on classification of affective states for children focus on visual observations and physiological cues, where all data collection for measuring physiological signals are contact-based and invasive. With the requirement of having the measuring device attached to the body approach, distraction of the subject normally masks the true affective states of the subject due to discomfort. In this paper, a non-invasive, contactless, and less distraction method is proposed to measure the physiological cues of the subjects using their thermal imprints from frontal face imaging. A thermal image camera is used to identify basic affective states, where it is a contactless and seamless device with ability to read the radiated thermal imprint of the subjects’ facial skin temperature. This paper proposes an effective algorithm of texture analysis based on novel technique using Gray Level Co-occurrence Matrix approach to be applied so as to identify blood-flow region. The cues from the first order statistics are computed in the identified blood flow region and concatenated along with second order statistics cues, in order to construct feature vectors to administer the vital and distinguishable characteristic pattern between affective states in thermal images. Result from the fine k-NN classifier obtained promises the efficacy of the proposed approach to be applied in our future work in human–robot interaction for autistic children learning and training. IEEE 2018 Article PeerReviewed application/pdf en http://irep.iium.edu.my/68664/7/68664_Mean%20of%20correlation%20method%20for%20optimization_scopus.pdf application/pdf en http://irep.iium.edu.my/68664/12/68664_Mean%20of%20correlation%20method%20for%20optimization.pdf Rusli, Nazreen and Sidek, Shahrul Na'im and Md Yusuf, Hazlina and Ishak, Nor Izzati (2018) Mean of correlation method for optimization of affective states detection in children. IEEE Access, 6. pp. 68487-68497. ISSN 2169-3536 https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8510806 10.1109/ACCESS.2018.2878144
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T Technology (General)
spellingShingle	T Technology (General) Rusli, Nazreen Sidek, Shahrul Na'im Md Yusuf, Hazlina Ishak, Nor Izzati Mean of correlation method for optimization of affective states detection in children
description	At the moment, most of the studies on classification of affective states for children focus on visual observations and physiological cues, where all data collection for measuring physiological signals are contact-based and invasive. With the requirement of having the measuring device attached to the body approach, distraction of the subject normally masks the true affective states of the subject due to discomfort. In this paper, a non-invasive, contactless, and less distraction method is proposed to measure the physiological cues of the subjects using their thermal imprints from frontal face imaging. A thermal image camera is used to identify basic affective states, where it is a contactless and seamless device with ability to read the radiated thermal imprint of the subjects’ facial skin temperature. This paper proposes an effective algorithm of texture analysis based on novel technique using Gray Level Co-occurrence Matrix approach to be applied so as to identify blood-flow region. The cues from the first order statistics are computed in the identified blood flow region and concatenated along with second order statistics cues, in order to construct feature vectors to administer the vital and distinguishable characteristic pattern between affective states in thermal images. Result from the fine k-NN classifier obtained promises the efficacy of the proposed approach to be applied in our future work in human–robot interaction for autistic children learning and training.
format	Article
author	Rusli, Nazreen Sidek, Shahrul Na'im Md Yusuf, Hazlina Ishak, Nor Izzati
author_facet	Rusli, Nazreen Sidek, Shahrul Na'im Md Yusuf, Hazlina Ishak, Nor Izzati
author_sort	Rusli, Nazreen
title	Mean of correlation method for optimization of affective states detection in children
title_short	Mean of correlation method for optimization of affective states detection in children
title_full	Mean of correlation method for optimization of affective states detection in children
title_fullStr	Mean of correlation method for optimization of affective states detection in children
title_full_unstemmed	Mean of correlation method for optimization of affective states detection in children
title_sort	mean of correlation method for optimization of affective states detection in children
publisher	IEEE
publishDate	2018
url	http://irep.iium.edu.my/68664/ http://irep.iium.edu.my/68664/ http://irep.iium.edu.my/68664/ http://irep.iium.edu.my/68664/7/68664_Mean%20of%20correlation%20method%20for%20optimization_scopus.pdf http://irep.iium.edu.my/68664/12/68664_Mean%20of%20correlation%20method%20for%20optimization.pdf
first_indexed	2023-09-18T21:37:25Z
last_indexed	2023-09-18T21:37:25Z
_version_	1777412913892425728

Mean of correlation method for optimization of affective states detection in children

Similar Items