Estimating Focused Object using Smooth Pursuit Eye Movements and Interest Points in the Real World
Estimating Focused Object using Smooth Pursuit Eye Movements and Interest Points in the Real World
复制标题
使用现实世界中的平滑追踪眼球运动和兴趣点估计聚焦对象
DOI：
10.1145/3332167.3357102
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
K. Takemura
中科院分区：
文献类型：
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作者：
Yuto Tamura;K. Takemura
用户校准是基于眼睛的交互中的一个重要问题。为了克服这一问题，人们提出了几种解决方案，如无定标法和隐式用户定标法。基于追求的交互是另一种针对公共屏幕和虚拟现实进行研究的解决方案。它已经被应用于选择图形用户界面(GUI)，因为在图形用户界面中的动作可以预先设计。平滑追踪眼球运动(平滑追踪)是当用户观看物理空间中的物体时发生的，因此，我们提出了一种利用现实世界中的平滑追踪来识别聚焦对象的方法。我们尝试使用基于追踪的方法在几种情况下确定没有先验信息的聚焦对象，并通过实验评估证实了该方法的可行性和局限性。
User calibration is a significant problem in eye-based interaction. To overcome this, several solutions, such as the calibration-free method and implicit user calibration, have been proposed. Pursuits-based interaction is another such solution that has been studied for public screens and virtual reality. It has been applied to select graphical user interfaces (GUIs) because the movements in a GUI can be designed in advance. Smooth pursuit eye movements (smooth pursuits) occur when a user looks at objects in the physical space as well and thus, we propose a method to identify the focused object by using smooth pursuits in the real world. We attempted to determine the focused objects without prior information under several conditions by using the pursuits-based approach and confirmed the feasibility and limitations of the proposed method through experimental evaluations.