Smart Electric Wheelchair for disabled and paralyzed person using Attention Values on Arduino

Abstract

Many individuals in our culture have paralytic disorders, which render them physically immobile and unable to speak or communicate their demands, among other limitations. They do, however, mostly make head and eye blinking motions. Our research, which operates on the theory of Brain-Computer Interface, was created based on their blinking capacity (BCI). This 2-wheel drive control, which works well with the BCI, can accept two gear engines, each of which can control the left and right wheels. The beginning and ending of left, right, backward, and forward wheelchair movement is accomplished with the aid of the number of eye blink values. The wheelchair movement is entirely dependent on attention values. Our suggested technique enables people to steer the robotic vehicle to the specified location with a single eyeblink. The electronic wheelchair receives the output signal to accomplish the appropriate movement based on the eye-blink information collected. As a result, in this project a microcontroller is developed to translate the EEG signal into mental commands and transmit the controlling signal wirelessly to the electrical wheelchair. The work presented here has not yet been put into practise on a low-cost gadget that improves a paralysed person's social life when they use a smart wheelchair. Additionally, it enhances cognitive functions and aids in maintaining attention on the work at hand.