Slippage-robust Gaze Tracking for Near-eye Display

TL;DR

This paper introduces a novel gaze tracking method for near-eye displays that remains accurate despite device slippage, using an aspheric eyeball model to improve robustness in virtual and augmented reality applications.

Contribution

The paper presents a new slippage-robust gaze tracking approach based on an aspheric eyeball model, significantly reducing errors caused by device slippage.

Findings

Outperforms previous methods by nearly double in accuracy.

Demonstrates robustness against device slippage in datasets.

Improves practical usability of HMD gaze tracking.

Abstract

In recent years, head-mounted near-eye display devices have become the key hardware foundation for virtual reality and augmented reality. Thus head-mounted gaze tracking technology has received attention as an essential part of human-computer interaction. However, unavoidable slippage of head-mounted devices (HMD) often results higher gaze tracking errors and hinders the practical usage of HMD. To tackle this problem, we propose a slippage-robust gaze tracking for near-eye display method based on the aspheric eyeball model and accurately compute the eyeball optical axis and rotation center. We tested several methods on datasets with slippage and the experimental results show that the proposed method significantly outperforms the previous method (almost double the suboptimal method).