Development of a Fast and Robust Gaze Tracking System for Game Applications

TL;DR

This paper presents a new eye tracking system using a visual camera designed for gaming, featuring a robust iris and eye-corner detection algorithm that provides accurate gaze estimation for enhanced interactive experiences.

Contribution

The paper introduces a novel gaze tracking system with an adaptive iris and eye-corner detection algorithm tailored for game applications, improving robustness and accuracy.

Findings

Gaze estimation accuracy of 2.50 degrees horizontally

Gaze estimation accuracy of 3.07 degrees vertically

System tested on nine users with promising results

Abstract

In this study, a novel eye tracking system using a visual camera is developed to extract human's gaze, and it can be used in modern game machines to bring new and innovative interactive experience to players. Central to the components of the system, is a robust iris-center and eye-corner detection algorithm basing on it the gaze is continuously and adaptively extracted. Evaluation tests were applied to nine people to evaluate the accuracy of the system and the results were 2.50 degrees (view angle) in horizontal direction and 3.07 degrees in vertical direction.