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, Abdul Rahman, Abdul Wahab, Dzulkifli, Mariam Adawiah
Format:	Conference or Workshop Item
Language:	English
Published:	2015
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/40882/ http://irep.iium.edu.my/40882/1/Clustering_Natural_Language_Morphemes_from_EEG_Signals_using_ABC.pdf

id	iium-40882
recordtype	eprints
spelling	iium-408822016-08-05T01:37:40Z http://irep.iium.edu.my/40882/ 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 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. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/40882/1/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 and Abdul Rahman, Abdul Wahab and Dzulkifli, Mariam Adawiah (2015) Clustering natural language morphemes from EEG signals using the Artificial Bee Colony algorithm. In: Fourth International Neural Network Society Symposia Series (INNS-CIIS 2014), 7-9 November 2014, Bandar Seri Begawan, Brunei .
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 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	Conference or Workshop Item
author	Sulaiman, Suriani Ahmed Yahya, Saba Mohd Shukor, Nur Sakinah Ismail , Amelia Ritahani Zaahirah, Qazi Yaacob, Hamwira 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 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
publishDate	2015
url	http://irep.iium.edu.my/40882/ http://irep.iium.edu.my/40882/1/Clustering_Natural_Language_Morphemes_from_EEG_Signals_using_ABC.pdf
first_indexed	2023-09-18T20:58:34Z
last_indexed	2023-09-18T20:58:34Z
_version_	1777410469918670848

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

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