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...
Published in: | International Journal of Control Theory and Applications |
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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 |
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International Journal of Control Theory and Applications |
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9 |
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6 |
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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 |
format |
Article |
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scopus |
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Scopus |
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1809677909943648256 |