Eye tracking technology is widely applied to detect user’s attention in a 2D field, such as web page design, package design, and shooting games. However, because our surroundings primarily consist of 3D objects, applications will be expanded if there is an effective method to obtain and display user’s 3D gaze fixation. In this research, a methodology is proposed to demonstrate the user’s 3D gaze fixation on a digital model of a scene using only a pair of eye tracking glasses. The eye tracking glasses record user’s gaze data and scene video. Thus, using image-based 3D reconstruction, a 3D model of the scene can be reconstructed from the frame images; simultaneously, the transformation matrix of each frame image can be evaluated to find 3D gaze fixation on the 3D model. In addition, a method that demonstrates multiple users’ 3D gaze fixation on the same digital model is presented to analyze gaze distinction between different subjects. With this preliminary development, this approach shows potential to be applied to a larger environment and conduct a more reliable investigation.

中文翻译：

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仅使用眼动跟踪眼镜即可可视化用户对3D环境中对象的关注

眼动追踪技术被广泛应用于在网页设计，包装设计和射击游戏等2D领域中检测用户的注意力。但是，由于我们的周围环境主要由3D对象组成，因此，如果有一种有效的方法来获取和显示用户的3D凝视注视，则会扩展应用程序。在这项研究中，提出了一种方法来演示用户仅使用一副眼动跟踪眼镜在场景数字模型上的3D凝视注视。眼睛跟踪眼镜记录用户的凝视数据和场景视频。因此，使用基于图像的3D重建，可以从帧图像中重建场景的3D模型。同时，可以评估每个帧图像的变换矩阵，以找到3D模型上的3D凝视注视。此外，提出了一种方法来演示多个用户对同一数字模型的3D凝视注视，以分析不同主体之间的凝视区别。随着这种初步的发展，这种方法显示出可应用于更大环境并进行更可靠调查的潜力。