InvisibleEye:使用基于外观的凝视估计的完全嵌入式移动眼动追踪

Julian Steil, Marc Tonsen, Yusuke Sugano, A. Bulling
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引用次数: 1

摘要

尽管移动眼动仪具有一系列令人兴奋的新应用的潜力,但它存在几个基本的可用性问题。InvisibleEye是一种创新的移动眼动追踪方法,它使用毫米大小的RGB相机,可以完全嵌入到普通的眼镜框中,以及基于外观的凝视估计,直接从眼睛图像中估计凝视。通过对三个大规模的、越来越真实的数据集的评估,我们表明,使用三对相机,以仅3x3像素的分辨率,InvisibleEye可以实现高达2.04°的个人特定凝视估计精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
InvisibleEye: Fully Embedded Mobile Eye Tracking Using Appearance-Based Gaze Estimation
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 appearancebased 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° using three camera pairs with a resolution of only 3x3 pixels.
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