# Brain-Computer Interface BCI-Controlled Exoskeleton-Arm, ArmClenching

This project's aim is to open and close an exoskeleton arm through the users focus state. Detecting focus state relies on detecting the following thresholds:

- Beta > Alpha wave vales, means that the user is in a concentration state
- Alpha > Beta wave values, means that the user is in a non-concentration stage

By creating a 1D Convolutional Neural Network and setting 2 output values, I have created a very strong CNN model that can clench and relax an exoskeleton arm.