The objective for this project is to conduct controlled experiment, collecting raw samples of EEG
data, applying signal processing to extract useful features that can be correlated to a hand gesture
(Open/Close). Since the human brain and its functions are very complex, the importance of signal
processing to filter features is a task of great value. Finally applying machine learning techniques
to the pre-processed data which can be used to classify the two stages mentioned earlier. Finally
to implement a robotic arm that acts in two stages, Open and Close.