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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/40882/1/Clustering_Natural_Language_Morphemes_from_EEG_Signals_using_ABC.pdf
http://irep.iium.edu.my/40882/
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spelling my.iium.irep.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 REM 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 .
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/40882/1/Clustering_Natural_Language_Morphemes_from_EEG_Signals_using_ABC.pdf
http://irep.iium.edu.my/40882/
_version_ 1643611906312765440
score 13.211869

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