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Central-Eye: Gaze Tracking Research on Visual Rendering Method in Industrial Virtual Reality Scene

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Jin YuzeAuthors Info & Claims

ACM TURC '20: Proceedings of the ACM Turing Celebration Conference - China

Pages 51 - 57

https://doi.org/10.1145/3393527.3393537

Published: 26 October 2020 Publication History

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Abstract

With development of computing technology, virtual reality devices are widely used in Internet-enabled industrial platforms. The problem of virtual reality stuns caused by the increase in visual frequency and real-world scenarios in industrial applications is still remaining the core problem. We proposes a new method called Central-Eye. It adopts a new context-aware solution for eye tracking to obtain the focus of the human eye on the screen, and then based on the distribution of human visual acuity, down-sampling the rendering in the visual edge area to increase the rendering speed to solve the user experience problem. Aiming at the characteristics of industrial virtual reality equipment with large field of view, high frame rate requirements, and eyepiece distortion, we propose a new gaze tracking method combining pattern recognition with local linear fitting. From experimental evaluation, we finally conclude the research that Central-Eye method can virtually improve the user experiences.

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Cited By

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Alhakamy A(2024)Extended Reality (XR) Toward Building Immersive Solutions: The Key to Unlocking Industry 4.0ACM Computing Surveys10.1145/365259556:9(1-38)Online publication date: 25-Apr-2024
https://dl.acm.org/doi/10.1145/3652595
Moreno-Arjonilla JLópez-Ruiz AJiménez-Pérez JCallejas-Aguilera JJurado J(2024)Eye-tracking on virtual reality: a surveyVirtual Reality10.1007/s10055-023-00903-y28:1Online publication date: 5-Feb-2024
https://dl.acm.org/doi/10.1007/s10055-023-00903-y

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Published In

ACM TURC '20: Proceedings of the ACM Turing Celebration Conference - China

May 2020

220 pages

ISBN:9781450375344

DOI:10.1145/3393527

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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Baidu Research: Baidu Research

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2020

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ACM TURC'20

ACM TURC'20: ACM Turing Celebration Conference - China

May 22 - 24, 2020

Hefei, China

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Alhakamy A(2024)Extended Reality (XR) Toward Building Immersive Solutions: The Key to Unlocking Industry 4.0ACM Computing Surveys10.1145/365259556:9(1-38)Online publication date: 25-Apr-2024
https://dl.acm.org/doi/10.1145/3652595
Moreno-Arjonilla JLópez-Ruiz AJiménez-Pérez JCallejas-Aguilera JJurado J(2024)Eye-tracking on virtual reality: a surveyVirtual Reality10.1007/s10055-023-00903-y28:1Online publication date: 5-Feb-2024
https://dl.acm.org/doi/10.1007/s10055-023-00903-y

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Recommendations

Utilizing VR and Gaze Tracking to Develop AR Solutions for Industrial Maintenance

Gaze Tracking for Eye-Hand Coordination Training Systems in Virtual Reality

Vibrotactile stimulation of the head enables faster gaze gestures