An affordable, open source all-in-one bio-sensing platform

Nov 17, 2020

Project update 5 of 8

Campaign Funded & Tracking Eye Movement with EEG

by Varan Gupta

Campaign Goal Reached!

We want to say a big thank you to all of our backers! The E3K Bio Sensing Platform campaign is officially funded! We have reached our funding goal. There are still a few days left to get your order in during the campaign.

Tracking Eye Movement during Gaming with EEG Sensor

Brain function is not just fascinating, but also the most complex and least-understood at the moment. Study of the brain has a plethora of areas starting from medical treatment, research on the functioning of the brain, brain-computer interface, robotics, gaming interface etc.

The E3K EEG Sensor will help you in capturing these signals, by placing electrodes at different places on your head. Similar to other sensors, the signal through the electrodes is filtered and amplified, which is then presented in the form of Analog Output.

What is an EEG?

Electroencephalography (EEG) is a method of recording electrical signals of the brain by placing electrodes at various places on the scalp. As we are aware, brain cells (neurons) communicate via electrical impulses. These electrodes capture the electrical activity and help in recording these signals. These captured signals are then put on a timeline as graphs and analyzed by the doctors and researchers for correctness.

Project Aim

Here we will develop a game by capturing our eyeball movement. In the game the balls are dropping from either left or right side of the screen randomly. User needs to look right / left to move the basket and catch the falling ball.

Items needed for this demo:

Connection diagram for capturing EEG for eye movement.


  1. Connect the E3K with EEG sensor, as shown in the above diagram.
  2. Place the electrodes next to each eye on the Temple and 3rd electrode on the scalp behind the ear.
  3. Connect the all three electrodes with the electrode cable and insert the 3.5mm jack in the EEG sensor.
  4. Run the WallySci GUI.
  5. Configure the channel, speed of communication and mode of communication.
  6. Once all these are done, you can view the graph as shown below.
Figure 1: Graph showing eye movement data.

This signal can be stored, analyzed and used to build projects. One can analyze these signals, run AI / ML algorithm and study more about these. This game is one of many cases that the users can build with these sensors.


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