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iTracking

Progress Report #1 (11/1)

Goals:

  1. Be able to accurately track the gaze of middle school children using two cameras.
  2. Develop software to run the eye tracking system.
  3. Include a method of calibrating the eye tracking system.
  4. Design a child-friendly case to enclose the system and keep it relatively hidden from view as to not intimidate the subjects.

Hardware:

Two Google AIY kits have been put together and tested using a connection to a phone as well as a connection to a keyboard, mouse, and monitor. The screen allowed us to view exactly what the AIY camera is viewing and see important data on what the camera is “tracking”.

Software:

The Google AIY kits come prebuilt with a smile detection feature which was successfully tested. In addition, we were able to have the kit identify at least 4 faces at a time using a program called pygaze.

To be done:

We are exploring using convolutional neural nets to develop an effective method of tracking gaze. The current plan is to use infrared light as a metric to analyze and track the eye movements. In order to complete this, we will have to buy 2 infrared lights and a infrared sensor. A future plan is to have one camera move to follow the face, so motors and a focusing lens are currently being sought out.