EyeSee3D 2.0: model-based real-time analysis of mobile eye-tracking in static and dynamic three-dimensional scenes
EyeSee3D 2.0: model-based real-time analysis of mobile eye-tracking in static and dynamic three-dimensional scenes
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EyeSee3D 2.0：基于模型的静态和动态三维场景中的移动眼动追踪实时分析
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
Nadine Pfeiffer
中科院分区：
文献类型：
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作者：
Thies Pfeiffer;Patrick Renner;Nadine Pfeiffer
随着超便携系统的推出，移动的眼动追踪终于有可能成为主流。虽然眼睛运动本身已经可以用来识别人类活动，例如阅读或行走，但将眼睛运动与环境中的物体联系起来可以更深入地了解人类认知处理。我们提出了一个基于模型的方法，在三维环境中的固定对象的识别。为了进行评估，我们比较了自动标签的固定与人类注释。除此之外，我们还展示了如何将该方法扩展到支持移动目标，例如人类交互伙伴的个人肢体或面部。该方法还可扩展到并行使用多个移动的眼动跟踪系统的研究。开发的系统支持实时专注系统，利用眼动跟踪作为间接或直接人机交互的手段，以及用于基础研究目的和可用性研究的离线分析。
With the launch of ultra-portable systems, mobile eye tracking finally has the potential to become mainstream. While eye movements on their own can already be used to identify human activities, such as reading or walking, linking eye movements to objects in the environment provides even deeper insights into human cognitive processing. We present a model-based approach for the identification of fixated objects in three-dimensional environments. For evaluation, we compare the automatic labelling of fixations with those performed by human annotators. In addition to that, we show how the approach can be extended to support moving targets, such as individual limbs or faces of human interaction partners. The approach also scales to studies using multiple mobile eye-tracking systems in parallel. The developed system supports real-time attentive systems that make use of eye tracking as means for indirect or direct human-computer interaction as well as off-line analysis for basic research purposes and usability studies.
EyeSee3D：一种使用计算机视觉和增强现实技术分析移动 3D 眼动追踪数据的低成本方法
DOI：
10.1145/2578153.2578183
发表时间：
2014
期刊：
Proceedings of the Symposium on Eye Tracking Research and Applications
影响因子：
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作者：
Pfeiffer;Renner
通讯作者：
Renner