Universiti Teknologi Malaysia Institutional Repository

Single channel electroencephalogram feature extraction based on probability density function for synchronous brain computer interface

Shawkany Hazim, M. S. A. and Mat Safri, N. and Othman, M. A. (2016) Single channel electroencephalogram feature extraction based on probability density function for synchronous brain computer interface. Jurnal Teknologi, 78 (7-5). pp. 105-111. ISSN 0127-9696

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Abstract

Over recent years, there has been an explosive growth of interest in Electroencephalogram (EEG) based-Brain Computer Interface (BCI). Technically any architecture of a BCI is designed to have the ability of extracting out a set of features from brain signal. This paper demonstrated the extraction process based on Probability Density Function (PDF).A shared control scheme was developed between a mobile robot and subject. In general, subjects were required to synchronously imagine a star rotating and mind relaxation at specific time and direction. The imagination of a star would trigger a mobile robot suggesting that there is an object at certain direction. The mobile robot was then looking for a target based on probability value assigned to it. The result shows that 95 of theta activity was concentrated at target\x92s direction (during star imagination) and reduced when there is no target (during mind relaxation).

Item Type:Article
Uncontrolled Keywords:brain computer interface, electroencephalogram, single channel
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:71184
Deposited By: Narimah Nawil
Deposited On:15 Nov 2017 04:14
Last Modified:15 Nov 2017 04:14

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