The goal of this project is to control a robotic arm using OpenBCI's Cyton Board to detect brain waves and with the help of machine learning algorithms determine the user's intentions to create an Human - Machine interface.
Humber Institute of Technology and Advanced Learning
Vinicius de A. L. e Souza - N01299468 - Electronics Engineering Technology - Third Year
Yongsun Lim - N01283910 - Electronics Engineering Technology - Third Year
Robert Lengyel
- The Robotic Arm Code
- The Brain Waves Analysis
- The Board Design (TODO)
- OpenBCI's Cyton Board
- OpenBCI's Ultracortex Mark IV Headset
- Mechanical Arm Kit
- Custom made Arduino Uno compatible board (TODO)
Even though this project, for the time being, is intended as the final project for the Electronics Engineering Technology program at Humber Institute of Technology and Advanced Learning of the previously listed team members and is not intended to receive any external contribution, the project will remain open to access. Therefore, any interaction must still follow the contributions guidelines and code of conduct of the project.
This project is protected under a MIT License.
A short and simple permissive license with conditions only requiring preservation of copyright and license notices. Licensed works, modifications, and larger works may be distributed under different terms and without source code.