Computer Science

In our ever-changing world, no one can survive or prosper in isolation. According to
UNICEF, 30 per cent of street youths are disabled. Moreover, youth and new generations are of
utmost importance in our modern world for a better future. It is sad to say that in our world, there
are physically impaired people who are deprived from the very basic means of communication.
Thus, sharing information in a bidirectional flow acts as a building block for constructive
communication. Here comes the technology that saves those helpless people from this prison of
not communication which is Brain-Computer Interface (BCI). As it is one of the most emerging
technologies in the past 10 years. The project aims to make a BCI application that reads the
human brain signals from an EEG device that then classifies these signals to commands that write
the wanted text.
By using deep learning the application will be able to classify these received signals and make
use of these classes to be converted into commands to write the specified text. This state-of-the-
art field can lend a helping hand and enable those who are physically disabled to be able to
communicate better. The project is consisting of 2 phases. Phase one: which the user wears the
EEG headset and by collecting data to feed it to the RNN model that will later train on these data
for better analysis of the signals. Phase two: where the model have trained on this person data and
able to classify his signals, all he will do is to imagine doing 1 of the 5 commands which are:
moving right hand, moving left hand, moving legs, closing eye, moving both hands. Furthermore,
this will help him to choose the specified letter to write the wanted word. By developing a high
accuracy deep learning model this will help the humanity to have much brighter future.