
An Eye Gaze Tracking Method of Virtual Reality Headset Using A Single Camera and Multi-light Source
Author(s) -
Shengfu Lu,
Richeng Li,
Jinan Jiao,
Jiaming Kang,
Ning Zhao,
Li Mi
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1518/1/012020
Subject(s) - headset , computer vision , gaze , artificial intelligence , eye tracking , computer science , pupil , eye tracking on the iss , eye movement , tracking (education) , tracking system , transformation (genetics) , virtual reality , computer graphics (images) , optics , psychology , kalman filter , physics , telecommunications , pedagogy , biochemistry , chemistry , gene
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.