2D affective space model (ASM) for detecting autistic children

There are many research works have been done on autism cases using brain imaging techniques. In this paper, the Electroencephalogram (EEG) was used to understand and analyze the functionality of the brain to identify or detect brain disorder for autism in term of motor imitation. Thus, the portabili...

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Main Authors:	Razali, Najwani, Abdul Rahman, Abdul Wahab
Format:	Conference or Workshop Item
Language:	English
Published:	2011
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/9657/ http://irep.iium.edu.my/9657/ http://irep.iium.edu.my/9657/1/9657.pdf

id	iium-9657
recordtype	eprints
spelling	iium-96572012-02-28T04:59:44Z http://irep.iium.edu.my/9657/ 2D affective space model (ASM) for detecting autistic children Razali, Najwani Abdul Rahman, Abdul Wahab QA75 Electronic computers. Computer science There are many research works have been done on autism cases using brain imaging techniques. In this paper, the Electroencephalogram (EEG) was used to understand and analyze the functionality of the brain to identify or detect brain disorder for autism in term of motor imitation. Thus, the portability and affordability of the EEG equipment makes it a better choice in comparison with other brain imaging device such as functional magnetic resonance imaging (fMRI), positron emission tomography (PET) and megnetoencephalography (MEG). Data collection consists of both autistic and normal children with the total of 6 children for each group. All subjects were asked to clinch their hand by following video stimuli which presented in 1 minute time. Gaussian mixture model was used as a method of feature extraction for analyzing the brain signals in frequency domain. Then, the extraction data were classified using multilayer perceptron (MLP). According to the verification result, the percentage of discriminating between both groups is up to 85% in average by using k-fold validation 2011-06-14 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/9657/1/9657.pdf Razali, Najwani and Abdul Rahman, Abdul Wahab (2011) 2D affective space model (ASM) for detecting autistic children. In: 2011 IEEE 15th International Symposium on Consumer Electronics (ISCE), 14-17 June 2011, Singapore. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5973888&tag=1
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Razali, Najwani Abdul Rahman, Abdul Wahab 2D affective space model (ASM) for detecting autistic children
description	There are many research works have been done on autism cases using brain imaging techniques. In this paper, the Electroencephalogram (EEG) was used to understand and analyze the functionality of the brain to identify or detect brain disorder for autism in term of motor imitation. Thus, the portability and affordability of the EEG equipment makes it a better choice in comparison with other brain imaging device such as functional magnetic resonance imaging (fMRI), positron emission tomography (PET) and megnetoencephalography (MEG). Data collection consists of both autistic and normal children with the total of 6 children for each group. All subjects were asked to clinch their hand by following video stimuli which presented in 1 minute time. Gaussian mixture model was used as a method of feature extraction for analyzing the brain signals in frequency domain. Then, the extraction data were classified using multilayer perceptron (MLP). According to the verification result, the percentage of discriminating between both groups is up to 85% in average by using k-fold validation
format	Conference or Workshop Item
author	Razali, Najwani Abdul Rahman, Abdul Wahab
author_facet	Razali, Najwani Abdul Rahman, Abdul Wahab
author_sort	Razali, Najwani
title	2D affective space model (ASM) for detecting autistic children
title_short	2D affective space model (ASM) for detecting autistic children
title_full	2D affective space model (ASM) for detecting autistic children
title_fullStr	2D affective space model (ASM) for detecting autistic children
title_full_unstemmed	2D affective space model (ASM) for detecting autistic children
title_sort	2d affective space model (asm) for detecting autistic children
publishDate	2011
url	http://irep.iium.edu.my/9657/ http://irep.iium.edu.my/9657/ http://irep.iium.edu.my/9657/1/9657.pdf
first_indexed	2023-09-18T20:19:16Z
last_indexed	2023-09-18T20:19:16Z
_version_	1777407997340811264

2D affective space model (ASM) for detecting autistic children

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