As mentioned before, the processing of the EOG was done in Python. This programming language was selected due to its multiplatform nature, which allows a Python program to be run in different types of operating systems such as Windows, IOS, and Linux, been Linux the operating system in which Raspbian the operating system of the Raspberry is based on. Therefore the implementation can be done in a transparent manner without developing delays.  The Python program was developed within the Thonny development environment target for beginners and educational purposes, this decision was made in order to facilitate the professor and students to use in a straightforward manner the code of the eye-tracking system and consequently make adjustments to it, according to their specific needs. 
One of the hardware characteristics of the Raspberry is that it comes with an integrated Wifi chip as shown in Table 6 that allows a connection to the internet or network in a wireless manner. Besides, the Raspberry comes with a VNC server that allows users to enable remote control of the software and hardware that is embedded or connected to the Raspberry, in this way the professor can enable remote monitoring of the eye-tracking by enabling the remote desktop capabilities of the single-board computer.  Therefore, the professor could have remote analysis o the eye movements while performing an experiment without the need of been physically present during the experiment. This functionally could be helpful when it is intended to generate a study case where it is important that the student must not be perpetuated during the experiment. Also, this characteristic is suitable when the student or professor cannot have some degree of physical contact or direct interaction with each other by no means like in online courses.  On the other hand, since the majority of the electronic hardware that is used in the eye-tracking has been used for educational purposes in the past, it is a feasible activity to used this system to introduce the students or even the professor to topics related to computer programming, electronics engineer, and artificial intelligence. Figure 7, shows the application developed in Python to monitor remotely the eye-tracking device.