Research of Mobile Robot Control System Based on SSVEP Brain Computer Interaction

Abstract

Brain-computer Interface is a new technology to communicate with the outside world without dependence on the peripheral nerves and muscle tissues. It has provided a brand-new interaction way for those suffering from neuromuscular diseases. Using the brain-computer interaction method based on steady state visual evoked potential, 3 instructions are designed to control the robot's motion. In this paper, band-pass filters and independent component analysis are used for artifacts reduction, the power spectral density of the signals is extracted with sliding windows to train the neural network classifier. The experimental results show that the system can complete various experimental tasks with high control precision.