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Moving One Dimensional Cursor Using Extracted Parameter
Siti Zuraimi BT Salleh, Norlaili BT Mat Safri, Siti Hajar Aminah Ali, Norlaili Mat Safri
Pages - 110 - 119     |    Revised - 30-10-2009     |    Published - 30-11-2009
Volume - 3   Issue - 5    |    Publication Date - November 2009  Table of Contents
brain-computer interface, electroencephalogram (EEG), extracted parameter, Fast Fourier Transform (FFT)
This study focuses on developing a method to determine parameters to control cursor movement using noninvasive brain signals, or electroencephalogram (EEG) for brain-computer interface (BCI). There were two conditions applied i.e. Control condition where subjects relax (resting state); and Task condition where subjects imagine a movement. During both conditions, EEG signals were recorded from 19 scalp locations. In Task condition, subjects were asked to imagine a movement to move the cursor on the screen towards target position. Fast Fourier Transform (FFT) was used to analyse the recorded EEG signals. To obtain maximum speed and accuracy, EEG data were divided into various interval and difference in power values between Task and Control conditions were calculated. As conclusion, the present study suggests that difference in delta frequency band between resting and active imagination may be use to control one dimensional cursor movement and the region that gives optimum output is at the parietal region.
CITED BY (1)  
1 Azmy, H., & Safri, N. M. (2013). EEG Based BCI Using Visual Imagery Task for Robot Control. Jurnal Teknologi, 61(2).
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Mr. Siti Zuraimi BT Salleh
Dr. Norlaili BT Mat Safri
Miss Siti Hajar Aminah Ali
Dr. Norlaili Mat Safri
- Malaysia