Title

Video-based eyetracking methods and algorithms in head-mounted displays

Authors

Authors

H. Hua; P. Krishnaswamy;J. P. Rolland

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Opt. Express

Keywords

EYE; VISUALIZATION; FIELD; Optics

Abstract

Head pose is utilized to approximate a user's line-of-sight for real-time image rendering and interaction in most of the 3D visualization applications using head-mounted displays (HMD). The eye often reaches an object of interest before the completion of most head movements. It is highly desirable to integrate eye-tracking capability into HMDs in various applications. While the added complexity of an eyetracked-HMD (ETHMD) imposes challenges on designing a compact, portable, and robust system, the integration offers opportunities to improve eye tracking accuracy and robustness. In this paper, based on the modeling of an eye imaging and tracking system, we examine the challenges and identify parametric requirements for video-based pupil-glint tracking methods in an ET-HMD design, and predict how these parameters may affect the tracking accuracy, resolution, and robustness. We further present novel methods and associated algorithms that effectively improve eye-tracking accuracy and extend the tracking range. (c) 2006 Optical Society of America.

Journal Title

Optics Express

Volume

14

Issue/Number

10

Publication Date

1-1-2006

Document Type

Article

Language

English

First Page

4328

Last Page

4350

WOS Identifier

WOS:000237608600014

ISSN

1094-4087

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