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

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, θ 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.