InvisibleEye: Fully Embedded Mobile Eye Tracking Using Appearance-Based Gaze Estimation

被引：0
|
作者：
Steil, Julian [1 ]
Tonsen, Marc [1 ]
Sugano, Yusuke [2 ]
Bulling, Andreas [3 ]
机构：
[1] Max Planck Inst Informat, Saarland Informat Campus, Saarbrucken, Germany
[2] Univ Tokyo, Inst Ind Sci, Tokyo, Japan
[3] Univ Stuttgart, Inst Visualizat & Interact Syst, Stuttgart, Germany
来源：
GETMOBILE-MOBILE COMPUTING & COMMUNICATIONS REVIEW | 2019年 / 23卷 / 02期
关键词：
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Despite their potential for a range of exciting new applications, mobile eye trackers suffer from several fundamental usability problems. InvisibleEye is an innovative approach for mobile eye tracking that uses millimeter-size RGB cameras, which can be fully embedded into normal glasses frames, as well as appearance-based gaze estimation to directly estimate gaze from the eye images. Through evaluation on three large-scale, increasingly realistic datasets, we show that InvisibleEye can achieve a person-specific gaze estimation accuracy of up to 2.04 degrees using three camera pairs with a resolution of only 3x3 pixels.
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页码：30 / 34
页数：5
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