The design and preliminary implementation of low-cost brain-computer interface for enable moving of rolling robot

Abstract

We introduce the design and preliminary implementation of low-cost brain-computer interface (BCI) to enable movement of a rolling robot. This system will accept and execute basic commands that are generated from three brain condition normal, relax, or happy. The brain condition is determined by brainwaves known as alpha, beta, and gamma waves. The brainwaves are detected using Mindflex, connected with Arduino Uno, and sent data transmission to computer via USB connection. Algorithm is developed using Matlab to analyze the data and send three simple commands to a rolling robot through Wi-Fi connection. We conducted experiment for fifty times using 100 data for training and 50 data for testing, and obtained 62% of accuracy. This result shows that brainwave commands can be processed successfully for forward, turn left, and turn right movements. We have concluded that the system can be developed further to assist disabilities performing motions using their minds.