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P300-based EEG signal interpretation system for robot navigation control


Hasan, Intan Helina and Ramli, Abdul Rahman and Ahmad, Siti Anom and Osman, Rosiah (2013) P300-based EEG signal interpretation system for robot navigation control. World Applied Sciences Journal, 26 (5). pp. 566-572. ISSN 1818-4952; ESSN: 1991-6426


In recent years, Brain-Computer Interface (BCI) research has provoked an enormous interest among researchers from different fields. The most popular approach is a non-invasive method, using Electroencephalogram (EEG) analysis which acquires signals from the brain. The aim of this project is to develop a brain signal interpretation system that can convert one thought into multiple movements for mobile robot navigation. A signal interpretation system is designed and developed to receive the EEG signal via User Datagram Protocol (UDP) transmission, converts the signal to several robot commands that are pre-programmed according to the robot’s programming software and send the commands to the robot through the operating computer. Using signals from four electrodes to evaluate the signal interpretation system, a success rate of 75-80% is received, while a total response time of only 61 seconds needed by the system from the start of the stimuli until the robot has finished all commands sent by the system, as compared to the conventional method of one-thought-one-movement which can take around 30 seconds per command. With this system, user can expect faster execution of the robot commands, less thinking therefore less exhausting, making BCI a pleasant experience for all users regardless of their health conditions.

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Official URL or Download Paper: http://www.idosi.org/wasj/wasj26%285%292013.htm

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Institute of Advanced Technology
Publisher: IDOSI Publications
Keywords: Brain-computer interface (BCI); Electroencephalography (EEG); Event related potentials (ERPs); P300
Depositing User: Nabilah Mustapa
Date Deposited: 05 Aug 2015 23:56
Last Modified: 11 Sep 2015 02:29
URI: http://psasir.upm.edu.my/id/eprint/28694
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