Brain Controlled Robotic Car with Raspberry PI

Abstract

In world there are many people suffering by paralytic diseases that
causes them several disabilities because of which they are unable to talk,
unable to move physically and unable to express their everyday basic
needs, but they can still use their eyes and sometimes move their heads.
This article works on the principle of Brain-Computer Interface (BCI).
This model aids them to govern the wheelchair to the desired place
by their eye blink. So, they don’t need any concierge to drive them,
they can drive their wheelchair themselves. Wheelchair starts stirring
when we run the program, then the direction is chosen by having eye
blinks. The wheelchair should be capable to move easily in wherever
under the control of the user and it is not obligatory to predefine any
map or path. By providing accurate and natural controlling method, the
user can stop the robot any time immediately to avoid risks or danger.
This article gives an idea to usage a low-cost brainwave-reading headset,
which has only a sole lead electrode (Neurosky mind wave headset) to
gather the EEG (Electroencephalogram) signal. BCI will be established
by sending the EEG signal to the Raspberry pi and govern the drive
of the robot. This article idea is to use the eye blinking as the robot
monitoring technique as eye blinking will root a significant pulse in
the EEG signal. The neural network attained can be used to categorize
the blinking signal and the noise, and hence the user can send the
command to control the robot by blinking twice in a short period of
time. The robot will be evaluated by driving in different places to test
whether it can follow the expected path, avoid the obstacles, and stop
on a specific position.