Calibration free eye tracking solution for mobile and embedded devices
In this study we propose a competent low-cost eye tracking solution that is able to run on any mobile device, independently of the hardware that is equipped with. The rapid evolution of technologies has enabled to work with many neural network structures that some years ago were out of reach. The project will start from a solution which Irisbond (https://www.irisbond.com/) company has been working on, which gives precision values of 3 and 6 degrees for calibration and calibration-free use cases respectively. The goal of the solution is to try to develop a usable solution in the Augmented and Alternative Communication (AAC) field across different types of devices, from mobile to embedded devices. To achieve such an objective, two main goals have been set out during this study. One the one hand I (we) aim at removing the initial calibration step to reach a calibration-free solution. On the other hand, I (we) seek to separate the functionality of a software into independent, interchangeable modules to fit the different target device limitations.
