Brain Computer Interface for Controlling RC-Car Using Emotiv Epoc+

Authors

  • Thomas Setiono Informatics Department, Faculty of Industrial Technology, Petra Christian University.
  • Andreas Handojo Informatics Department, Faculty of Industrial Technology, Petra Christian University.
  • Rolly Intan Informatics Department, Faculty of Industrial Technology, Petra Christian University.
  • Raymond Sutjiadi Informatics Department, Faculty of Information Technology, Institut Informatika Indonesia.
  • Resmana Lim Electrical Engineering Department, Faculty of Industrial Technology, Petra Christian University. Mobile Computing Research Group, Petra Christian University, Jl. Siwalankerto 121–131, Surabaya 60236-Indonesia.

Keywords:

BCI, CSP, Emotiv EPOC, Mobile Robot, SSVEP, SVM,

Abstract

The research presents a control of a mobile robot/RC (Remote Control) car using EEG brain signals. Hardware composed of Emotiv Epoc+ EEG headset, computer, Wi-Fi router, and ESP8266 Wemos D1 microcontroller. The project is used for remote commands to navigate mobile robots into the specified position. In this research, the Steady State Visual Evoked Potential (SSVEP) with stimuli frequencies of 12, 15, and 20 Hz is used to control the direction of the RC-car (i.e. forward, right, and left). Two volunteers have participated in the experiment. They sit in a chair looking at the monitor screen with 3 flashing picture boxes with frequency of 12 Hz (goforward), 15 Hz (turn right), and 20 Hz (turn left). This project uses SVM pattern recognition methods to differentiate brain pattern. Recognition rate accuracy achieved 88% for turn-left command, 91% for turn-right command, and 90% for goforward command.

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Published

2018-05-31

How to Cite

Setiono, T., Handojo, A., Intan, R., Sutjiadi, R., & Lim, R. (2018). Brain Computer Interface for Controlling RC-Car Using Emotiv Epoc+. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(2-3), 169–172. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4212

Issue

Vol. 10 No. 2-3: Technology Innovation in Electrical, Electronics and Information Technology

Section

Articles

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