Rapid technological advancements have enhanced human lives, particularly for those
with disabilities. Because of abnormalities in their neural system, disabled people are unable
to control their muscles, write, or speak clearly. The purpose of this project is to create an
electric wheelchair that can be controlled by brain impulses through ergonomic design and
fabrication. To determine the level of attention and meditation in the brain, it is required to
monitor the electric activity in the brain caused by neuronal firing and parse waves. This
project focuses on a method known as electroencephalography (EEG). The voltage
fluctuation along the scalp caused by the brain's neurons interacting is measured by EEG. The
EEG sensor processes these voltage variations and outputs them to a microcontroller. A
microcontroller stores the data packets collected from the EEG sensor. The processed data is
used to determine the degree of concentration and meditation. The wheelchair's direction and
movements are managed using this data. The NeuroSky mind-wave mobile headset is utilized
as an EEG tool in this project. Neural network MATLAB code is used to train NeuroSky
signals. The independent Arduino controller receives these data to operate the electric
wheelchair. The wheelchair can be maneuvered in different directions with this controller. As
a result, in our project, an electric wheelchair is conceived and made, and an individual's
thoughts are used to control the wheelchair's movement.
