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

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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Bibliographic Details
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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Institution: Universiti Islam Antarabangsa Malaysia
Language: English

Internet

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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