@article{Rizal_Wijaya_2016, title={PENGENDALIAN GERAK MOBILE ROBOT BERBASIS BCI (BRAIN COMPUTER INTERFACE)}, volume={5}, url={https://journal.unj.ac.id/unj/index.php/prosidingsnf/article/view/4032}, DOI={10.21009/0305020101}, abstractNote={<p><em>Has long been known that neurons in the human brain produces electrical waves that can be measured, these waves obtained by the Emotiv EPOC + to get a signal Electroencephalography (EEG) of 14 pieces of electrodes distributed along the human scalp. Brain Computer Interface (BCI) is a system that allows the control hardware using human brain signals using Electroencephalography (EEG). Brain Computer Interface can be used to control a variety of microcontroller-based devices such as mobile robot control, a robot arm, and wheelchairs to help disabled people. In this study, we developed a system that allows humans to control the direction of motion of the mobile robot wave Electroencephalography (EEG). The system consists of an Emotiv EPOC + Neuroheadset, computers, and mobile robots. Cognitive Suite provided by Emotiv is responsible for generating the necessary control measures to make the mobile robot to perform three different orders: move forward, turn right, and turn left. The experimental results show that the mobile robot can be controlled in real-time based on physiological changes the subject.</em></p> <p><strong>Keywords<em>: </em></strong><em>Brain Computer Interface, Emotiv EPOC+, Mobile Robot, Microcontroller.</em></p&gt;}, journal={PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL)}, author={Rizal, Adbizar Asmon and Wijaya, Sastra Kusuma}, year={2016}, month={Oct.}, pages={SNF2016-CIP} }