Results 

The whole intention of the methodology process was to developed a system that could monitor en some extend the movement of the eye. Therefore, it was necessary to employ a machine learning algorithm that could achieve the task with a certain degree of accuracy. As it was mention before Linear Discriminant Analysis (LDA) was the selected classifier due to its overall accuracy 96.67%, also this classifier it less propensity to overfitting and it can be implemented with less computational requirements since the model only requires to evaluate three linear functions to make the classification of the EOG signals.