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Journal of Engineering and Applied Sciences

Manipulation of Robotic Arm with EEG Signal
Carolina Gonzalez, Juan Lasprilla and Dario Amaya

Abstract: This project has as objective identify some facial expressions using the sensor "Emotiv EEG neuroset". This device is a sensor capable of receive and interpret the bioelectrical activity of the brain, through Electroencephalography technique (EEG) besides has 16 channels with continuous accurate reception of brainwaves. In addition, the sensor has a SDK easy to use allowing that anyone person can handle it even without any experience in brain signals acquisition. The Emotiv® data were transferred to MATLAB® for filtering the brainwaves in order to send the information through serial communication to Arduino. Obtaining as a result an identification of three different expressions as wink, blink and smile, each expression has a different LED color in the Arduino board.

How to cite this article
Carolina Gonzalez, Juan Lasprilla and Dario Amaya, 2018. Manipulation of Robotic Arm with EEG Signal. Journal of Engineering and Applied Sciences, 13: 8966-8972.

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