Characterization of resting brainwave at different developmental stages of human learning

An investigation has been made to characterize resting brainwave at different developmental stages of human learning. A total of 68 university students have participated in the study. Initially, resting EEG is recorded from the antero-frontal region of the brain. The signal is then pre-processed for...

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Published in:International Journal of Control Theory and Applications
Main Author: Megat Ali M.S.A.; Jahidin A.H.; Taib M.N.; Tahir N.; Yassin I.M.
Format: Article
Language:English
Published: Serials Publications 2016
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988568812&partnerID=40&md5=112509c1c2f6d8f443933920349f1081
id 2-s2.0-84988568812
spelling 2-s2.0-84988568812
Megat Ali M.S.A.; Jahidin A.H.; Taib M.N.; Tahir N.; Yassin I.M.
Characterization of resting brainwave at different developmental stages of human learning
2016
International Journal of Control Theory and Applications
9
6

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988568812&partnerID=40&md5=112509c1c2f6d8f443933920349f1081
An investigation has been made to characterize resting brainwave at different developmental stages of human learning. A total of 68 university students have participated in the study. Initially, resting EEG is recorded from the antero-frontal region of the brain. The signal is then pre-processed for noise removal. Subsequently, spectral centroid features are extracted from the alpha and theta band. Control groups are established via Kolb's Learning Style Inventory. Pattern observation has revealed distinct characteristics in Acquisition, Specialization and Integration stages. It is also revealed that subjects in the Integration stage are in more relaxed state compared to the other groups. Classification of developmental stages via spectral centroid features and k-nearest neighbor has yielded satisfactory results for training and testing, each with 100% and 91.7% accuracies, respectively. Reliability of the findings is ascertained via k-fold cross-validation. © International Science Press.
Serials Publications
9745572
English
Article

author Megat Ali M.S.A.; Jahidin A.H.; Taib M.N.; Tahir N.; Yassin I.M.
spellingShingle Megat Ali M.S.A.; Jahidin A.H.; Taib M.N.; Tahir N.; Yassin I.M.
Characterization of resting brainwave at different developmental stages of human learning
author_facet Megat Ali M.S.A.; Jahidin A.H.; Taib M.N.; Tahir N.; Yassin I.M.
author_sort Megat Ali M.S.A.; Jahidin A.H.; Taib M.N.; Tahir N.; Yassin I.M.
title Characterization of resting brainwave at different developmental stages of human learning
title_short Characterization of resting brainwave at different developmental stages of human learning
title_full Characterization of resting brainwave at different developmental stages of human learning
title_fullStr Characterization of resting brainwave at different developmental stages of human learning
title_full_unstemmed Characterization of resting brainwave at different developmental stages of human learning
title_sort Characterization of resting brainwave at different developmental stages of human learning
publishDate 2016
container_title International Journal of Control Theory and Applications
container_volume 9
container_issue 6
doi_str_mv
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988568812&partnerID=40&md5=112509c1c2f6d8f443933920349f1081
description An investigation has been made to characterize resting brainwave at different developmental stages of human learning. A total of 68 university students have participated in the study. Initially, resting EEG is recorded from the antero-frontal region of the brain. The signal is then pre-processed for noise removal. Subsequently, spectral centroid features are extracted from the alpha and theta band. Control groups are established via Kolb's Learning Style Inventory. Pattern observation has revealed distinct characteristics in Acquisition, Specialization and Integration stages. It is also revealed that subjects in the Integration stage are in more relaxed state compared to the other groups. Classification of developmental stages via spectral centroid features and k-nearest neighbor has yielded satisfactory results for training and testing, each with 100% and 91.7% accuracies, respectively. Reliability of the findings is ascertained via k-fold cross-validation. © International Science Press.
publisher Serials Publications
issn 9745572
language English
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