EEG and eye-blinking signals through a Brain-Computer Interface based control for electric wheelchairs with wireless scheme

TLDR

The study develops a BCI that uses forehead EEG and Bluetooth to control electric wheelchairs for paralyzed patients. The system extracts normalized β, α, and δ EEG components and eye‑blink activity, mapping attention and blink signals to wheelchair controls transmitted over Bluetooth. Experiments show the system enables convenient control of an electric wheelchair.

Abstract

This paper mainly use simple unipolar electrode to capture EEG from the forehead to build a Brain-Computer Interface (BCI) based control for electric wheelchairs through Bluetooth for paralyzed patients. We have normalized β, α, and δ waves to construct two signals such as meditation and attention. Additionally, we can also extract the eye-blinking signals from BCI. Therefore, attention and eye-blinking signals can be collected as the control signals through a Bluetooth interface and the electrical interface in electric wheelchair. The experimental results confirmed that this system can provide a convenient manner to control an electric wheelchair.