An Eye Gaze Tracking Method of Virtual Reality Headset Using A Single Camera and Multi-light Source - 文章详情页

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CPCI-S EI

摘要：

For　the　problems　the　hardware　configuration　of　multi-camera　and　multi-light　source　is　complicated　and　the　eye　image　of　little　auxiliary　light　source　is　too　dark　in　the　eye　gaze　tracking　system,　A　new　eye　gaze　tracking　system　based　on　two-dimensional　mapping　model　is　proposed,　which　achieved　the　transformation　from　two-dimensional　coordinates　to　three-dimensional　coordinates　combined　attitude　angle　of　virtual　reality　headset.　In　this　paper,　the　mapping　relationship　between　visual　features　and　eye　gaze　points　is　established　by　improving　the　method　of　pupil　image　recognition　and　eye　gaze　estimation　based　pupil-corneal,　which　the　accuracy　of　eye　gaze　estimation　is　further　improved.　The　experimental　results　show　that　the　error　of　eye　gaze　tracking　system　is　less　than　1.1　°,　which　achieved　the　good　effect　of　eye　gaze　tracking.　©　2020　Published　under　licence　by　IOP　Publishing　Ltd.

关键词：

Cameras Computer vision Eye tracking Image enhancement Image recognition Light sources Mapping Virtual reality

作者机构：

[ 1 ] [Lu, Shengfu]Department of Automation, Faculty of Information Technology, Beijing University of Technology, Beijing, China
[ 2 ] [Lu, Shengfu]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China
[ 3 ] [Li, Richeng]Department of Automation, Faculty of Information Technology, Beijing University of Technology, Beijing, China
[ 4 ] [Li, Richeng]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China
[ 5 ] [Jiao, Jinan]Department of Automation, Faculty of Information Technology, Beijing University of Technology, Beijing, China
[ 6 ] [Jiao, Jinan]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China
[ 7 ] [Kang, Jiaming]Department of Automation, Faculty of Information Technology, Beijing University of Technology, Beijing, China
[ 8 ] [Kang, Jiaming]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China
[ 9 ] [Zhao, Nana]Department of Automation, Faculty of Information Technology, Beijing University of Technology, Beijing, China
[ 10 ] [Zhao, Nana]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China
[ 11 ] [Li, Mi]Department of Automation, Faculty of Information Technology, Beijing University of Technology, Beijing, China
[ 12 ] [Li, Mi]Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, China

通讯作者信息：

栗觅
[li, mi]department of automation, faculty of information technology, beijing university of technology, beijing, china;;[li, mi]beijing international collaboration base on brain informatics and wisdom services, beijing, china

电子邮件地址：

limi@bjut.edu.cn

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