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

• 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/
• Institution: Universiti Islam Antarabangsa Malaysia

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...