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Measuring gaze depth with an eye tracker during stereoscopic display

Published: 27 August 2011 Publication History

Abstract

While determining 2D gaze position using eye tracking is common practice, the efficacy of using eye tracking to measure 3D gaze point in a stereoscopic display has not been carefully studied. In this paper we explore this issue using a custom Wheatstone stereoscope augmented with an eye tracker. In a pilot study, we showed that there is strong evidence that eye vergence measurements do, in fact, track the depth component of the 3D stereo gaze point. In a subsequent full study, we compare depth estimation for a scene viewed in four different ways: without either stereo or motion parallax, without stereo but with motion parallax, with stereo but without motion parallax, and with both stereo and motion parallax. We show a significant effect related to depth from eye vergence for both of the stereo cases, but no effect for the monoscopic cases. Since depth from vergence is very noisy, we use a Butterworth filter to smooth the data and show that this greatly improves the stability of the depth reading without significant lag or loss in accuracy. We also demonstrate that using quadratic regression to perform a depth calibration can greatly improve the accuracy of the depth measurement.

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cover image ACM Conferences
APGV '11: Proceedings of the ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization
August 2011
128 pages
ISBN:9781450308892
DOI:10.1145/2077451
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 27 August 2011

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Author Tags

  1. eye tracking
  2. stereoscope
  3. stereoscopic rendering

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APGV '11 Paper Acceptance Rate 19 of 33 submissions, 58%;
Overall Acceptance Rate 19 of 33 submissions, 58%

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  • (2022)Estimating 3D spatiotemporal point of regard: a device evaluationJournal of the Optical Society of America A10.1364/JOSAA.45766339:8(1343)Online publication date: 11-Jul-2022
  • (2022)Estimating Perceptual Depth Changes with Eye Vergence and Interpupillary Distance using an Eye Tracker in Virtual Reality2022 Symposium on Eye Tracking Research and Applications10.1145/3517031.3529632(1-7)Online publication date: 8-Jun-2022
  • (2022)A Novel Integrated Eye-Tracking System with Stereo Stimuli for 3D Gaze EstimationIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2022.3225009(1-1)Online publication date: 2022
  • (2022)Förderlicher Entwurf cyber-physischer ProduktionssystemeHandbuch Industrie 4.010.1007/978-3-662-45537-1_132-1(1-36)Online publication date: 15-Dec-2022
  • (2021)A Visual Feedback Supported Intelligent Assistive Technique for Amyotrophic Lateral Sclerosis PatientsAdvanced Intelligent Systems10.1002/aisy.2021000974:4Online publication date: 10-Dec-2021
  • (2020)Evaluation of Gaze Depth Estimation from Eye Tracking in Augmented RealityACM Symposium on Eye Tracking Research and Applications10.1145/3379156.3391835(1-5)Online publication date: 2-Jun-2020
  • (2019)Monocular gaze depth estimation using the vestibulo-ocular reflexProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3314111.3319822(1-9)Online publication date: 25-Jun-2019
  • (2019)Resolving Target Ambiguity in 3D Gaze Interaction through VOR Depth EstimationProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300842(1-12)Online publication date: 2-May-2019
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