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All Journal PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL)
Adbizar Asmon Rizal
Departemen Fisika, Fakultas MIPA, Universitas Indonesia, Depok, 16424
Electrical & Electronics Engineering Energy Physics Other

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PENGENDALIAN GERAK MOBILE ROBOT BERBASIS BCI (BRAIN COMPUTER INTERFACE) Adbizar Asmon Rizal; Sastra Kusuma Wijaya
PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Vol 5 (2016): PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) SNF2016
Publisher : Program Studi Pendidikan Fisika dan Program Studi Fisika Universitas Negeri Jakarta, LPPM Universitas Negeri Jakarta, HFI Jakarta, HFI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (749.595 KB) | DOI: 10.21009/0305020101

Abstract

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. Keywords: Brain Computer Interface, Emotiv EPOC+, Mobile Robot, Microcontroller.
Co-Authors Sastra Kusuma Wijaya