EyeMod

EyeMod was the the end result from my dissertation: ‘Gaze Tracking With Everyday Hardware’.

The project was awarded a first and one of the highest dissertation marks for the entire year.

At the time, gaze tracking required bespoke and specialised equipment to be done effectively. EyeMod was a OpenCV (Computer Vision) based face detection tool which used custom algorithms to calibrate the position of users pupils in correlation to their gaze on the screen. This then allowed for gaze tracking to take place with a basic webcam.

A heat map was then created giving the user an overview of where their gaze had been whilst a video was played.

The application was to be used in a study with a team of embryologists to calculate the difference in where experienced embryologists looked compared to inexperienced ones looked.

Skills: OpenCV, C++, Objective-C,