Analysis of dyslexic children dynamic emotion trajectory during executive function tasks

Dyslexia is a language learning disability resulting in people experiencing difficulties in reading, spelling, writing and speaking due to inability in differentiating sound components. Detection of dyslexia for young children is a challenge because the signs and symptoms are not always obvious. It...

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Main Authors: Kamaruddin, Norhaslinda, Karim, Izzah, Abdul Rahman, Abdul Wahab
Format: Conference or Workshop Item
Language:English
English
Published: International Society of Computers and Their Applications (ISCA) 2014
Subjects:
Online Access:http://irep.iium.edu.my/58327/
http://irep.iium.edu.my/58327/
http://irep.iium.edu.my/58327/1/58327_Analysis%20of%20dyslexic%20children%20dynamic_complete.pdf
http://irep.iium.edu.my/58327/2/58327_Analysis%20of%20dyslexic%20children%20dynamic_SCOPUS.pdf
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spelling iium-583272018-05-05T17:59:30Z http://irep.iium.edu.my/58327/ Analysis of dyslexic children dynamic emotion trajectory during executive function tasks Kamaruddin, Norhaslinda Karim, Izzah Abdul Rahman, Abdul Wahab LB Theory and practice of education T Technology (General) Dyslexia is a language learning disability resulting in people experiencing difficulties in reading, spelling, writing and speaking due to inability in differentiating sound components. Detection of dyslexia for young children is a challenge because the signs and symptoms are not always obvious. It is also costly since experts are required to conduct and interpret the results of these evaluations. In this paper, the executive function tests were carried out on both control and dyslexic children and their respective brain waves are captured. By analyzing the electroencephalogram (EEG) patterns on the emotion dynamic while conducting the four executive functions, namely: identifying alphabet, recognizing colors, distinguishing between left and right and memory test, we are able to provide new insight into their emotional state. Kernel Density Estimation (KDE) feature extraction method coupled with Multi-layer Perceptron (MLP) are used to identify underlying different emotions during the executive function test. Experimental results indicated that there are substantial differences between dyslexic and control participants and the proposed method shows potential of extending such work for bigger scale analysis. International Society of Computers and Their Applications (ISCA) 2014 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/58327/1/58327_Analysis%20of%20dyslexic%20children%20dynamic_complete.pdf application/pdf en http://irep.iium.edu.my/58327/2/58327_Analysis%20of%20dyslexic%20children%20dynamic_SCOPUS.pdf Kamaruddin, Norhaslinda and Karim, Izzah and Abdul Rahman, Abdul Wahab (2014) Analysis of dyslexic children dynamic emotion trajectory during executive function tasks. In: 27th International Conference on Computer Applications in Industry and Engineering, CAINE 2014, 13-15 October, 2014, New Orleans, United States. https://uitm.pure.elsevier.com/en/publications/analysis-of-dyslexic-children-dynamic-emotion-trajectory-during-e
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic LB Theory and practice of education
T Technology (General)
spellingShingle LB Theory and practice of education
T Technology (General)
Kamaruddin, Norhaslinda
Karim, Izzah
Abdul Rahman, Abdul Wahab
Analysis of dyslexic children dynamic emotion trajectory during executive function tasks
description Dyslexia is a language learning disability resulting in people experiencing difficulties in reading, spelling, writing and speaking due to inability in differentiating sound components. Detection of dyslexia for young children is a challenge because the signs and symptoms are not always obvious. It is also costly since experts are required to conduct and interpret the results of these evaluations. In this paper, the executive function tests were carried out on both control and dyslexic children and their respective brain waves are captured. By analyzing the electroencephalogram (EEG) patterns on the emotion dynamic while conducting the four executive functions, namely: identifying alphabet, recognizing colors, distinguishing between left and right and memory test, we are able to provide new insight into their emotional state. Kernel Density Estimation (KDE) feature extraction method coupled with Multi-layer Perceptron (MLP) are used to identify underlying different emotions during the executive function test. Experimental results indicated that there are substantial differences between dyslexic and control participants and the proposed method shows potential of extending such work for bigger scale analysis.
format Conference or Workshop Item
author Kamaruddin, Norhaslinda
Karim, Izzah
Abdul Rahman, Abdul Wahab
author_facet Kamaruddin, Norhaslinda
Karim, Izzah
Abdul Rahman, Abdul Wahab
author_sort Kamaruddin, Norhaslinda
title Analysis of dyslexic children dynamic emotion trajectory during executive function tasks
title_short Analysis of dyslexic children dynamic emotion trajectory during executive function tasks
title_full Analysis of dyslexic children dynamic emotion trajectory during executive function tasks
title_fullStr Analysis of dyslexic children dynamic emotion trajectory during executive function tasks
title_full_unstemmed Analysis of dyslexic children dynamic emotion trajectory during executive function tasks
title_sort analysis of dyslexic children dynamic emotion trajectory during executive function tasks
publisher International Society of Computers and Their Applications (ISCA)
publishDate 2014
url http://irep.iium.edu.my/58327/
http://irep.iium.edu.my/58327/
http://irep.iium.edu.my/58327/1/58327_Analysis%20of%20dyslexic%20children%20dynamic_complete.pdf
http://irep.iium.edu.my/58327/2/58327_Analysis%20of%20dyslexic%20children%20dynamic_SCOPUS.pdf
first_indexed 2023-09-18T21:22:28Z
last_indexed 2023-09-18T21:22:28Z
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