Clustering natural language morphemes from EEG signals using the Artificial Bee Colony algorithm

We present a preliminary study on the use of a Brain Computer Interface(BCI) device to investigate the feasibility of recognizing patterns of natural language morphemes from EEG signals. This study aims at analyzing EEG signals for the purpose of clustering natural language morphemes using the Artif...

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Main Authors:	Sulaiman, Suriani, Ahmed Yahya, Saba, Mohd Shukor, Nur Sakinah, Ismail , Amelia Ritahani, Zaahirah, Qazi, Yaacob, Hamwira Sakti, Abdul Rahman, Abdul Wahab, Dzulkifli, Mariam Adawiah
Format:	Book Chapter
Language:	English
Published:	Switzerland 2015
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/49579/ http://irep.iium.edu.my/49579/ http://irep.iium.edu.my/49579/ http://irep.iium.edu.my/49579/1/Clustering_Natural_Language_Morphemes_from_EEG_Signals_using_ABC.pdf

id	iium-49579
recordtype	eprints
spelling	iium-495792016-07-17T06:41:07Z http://irep.iium.edu.my/49579/ Clustering natural language morphemes from EEG signals using the Artificial Bee Colony algorithm Sulaiman, Suriani Ahmed Yahya, Saba Mohd Shukor, Nur Sakinah Ismail , Amelia Ritahani Zaahirah, Qazi Yaacob, Hamwira Sakti Abdul Rahman, Abdul Wahab Dzulkifli, Mariam Adawiah QA75 Electronic computers. Computer science We present a preliminary study on the use of a Brain Computer Interface(BCI) device to investigate the feasibility of recognizing patterns of natural language morphemes from EEG signals. This study aims at analyzing EEG signals for the purpose of clustering natural language morphemes using the Artificial Bee Colony (ABC) algorithm. Using as input the features extracted from EEG signals during morphological priming tasks, our experimental results indicate that applying the ABC algorithm on EEG datasets to cluster Malay morphemes produces promising results. Switzerland 2015 Book Chapter PeerReviewed application/pdf en http://irep.iium.edu.my/49579/1/Clustering_Natural_Language_Morphemes_from_EEG_Signals_using_ABC.pdf Sulaiman, Suriani and Ahmed Yahya, Saba and Mohd Shukor, Nur Sakinah and Ismail , Amelia Ritahani and Zaahirah, Qazi and Yaacob, Hamwira Sakti and Abdul Rahman, Abdul Wahab and Dzulkifli, Mariam Adawiah (2015) Clustering natural language morphemes from EEG signals using the Artificial Bee Colony algorithm. In: Computational intelligence in information systems: proceedings of the Fourth INNS Symposia Series on Computational Intelligence in Information Systems (INNS-CIIS 2014). Advances in Intelligent Systems and Computing (331). Switzerland, Springer International Publishing, pp. 51-60. ISBN 978-3-319-13152-8 http://link.springer.com/chapter/10.1007%2F978-3-319-13153-5_6 10.1007/978-3-319-13153-5_6
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 Sulaiman, Suriani Ahmed Yahya, Saba Mohd Shukor, Nur Sakinah Ismail , Amelia Ritahani Zaahirah, Qazi Yaacob, Hamwira Sakti Abdul Rahman, Abdul Wahab Dzulkifli, Mariam Adawiah Clustering natural language morphemes from EEG signals using the Artificial Bee Colony algorithm
description	We present a preliminary study on the use of a Brain Computer Interface(BCI) device to investigate the feasibility of recognizing patterns of natural language morphemes from EEG signals. This study aims at analyzing EEG signals for the purpose of clustering natural language morphemes using the Artificial Bee Colony (ABC) algorithm. Using as input the features extracted from EEG signals during morphological priming tasks, our experimental results indicate that applying the ABC algorithm on EEG datasets to cluster Malay morphemes produces promising results.
format	Book Chapter
author	Sulaiman, Suriani Ahmed Yahya, Saba Mohd Shukor, Nur Sakinah Ismail , Amelia Ritahani Zaahirah, Qazi Yaacob, Hamwira Sakti Abdul Rahman, Abdul Wahab Dzulkifli, Mariam Adawiah
author_facet	Sulaiman, Suriani Ahmed Yahya, Saba Mohd Shukor, Nur Sakinah Ismail , Amelia Ritahani Zaahirah, Qazi Yaacob, Hamwira Sakti Abdul Rahman, Abdul Wahab Dzulkifli, Mariam Adawiah
author_sort	Sulaiman, Suriani
title	Clustering natural language morphemes from EEG signals using the Artificial Bee Colony algorithm
title_short	Clustering natural language morphemes from EEG signals using the Artificial Bee Colony algorithm
title_full	Clustering natural language morphemes from EEG signals using the Artificial Bee Colony algorithm
title_fullStr	Clustering natural language morphemes from EEG signals using the Artificial Bee Colony algorithm
title_full_unstemmed	Clustering natural language morphemes from EEG signals using the Artificial Bee Colony algorithm
title_sort	clustering natural language morphemes from eeg signals using the artificial bee colony algorithm
publisher	Switzerland
publishDate	2015
url	http://irep.iium.edu.my/49579/ http://irep.iium.edu.my/49579/ http://irep.iium.edu.my/49579/ http://irep.iium.edu.my/49579/1/Clustering_Natural_Language_Morphemes_from_EEG_Signals_using_ABC.pdf
first_indexed	2023-09-18T21:10:05Z
last_indexed	2023-09-18T21:10:05Z
_version_	1777411193747537920

Clustering natural language morphemes from EEG signals using the Artificial Bee Colony algorithm

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