Estimating Point-of-Gaze using Smooth Pursuit Eye Movements without Implicit and Explicit User-Calibration
Estimating Point-of-Gaze using Smooth Pursuit Eye Movements without Implicit and Explicit User-Calibration
复制标题
使用平滑追踪眼球运动估计注视点，无需隐式和显式用户校准
DOI：
10.1145/3379156.3391343
复制
发表时间：
2020
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
在真实的世界中检测注视点是眼动跟踪应用中具有挑战性的问题。使用几何约束估计注视点，并且需要用户校准。另外，在真实的世界中，聚焦目标的距离是可变的并且很大。因此，需要一种没有几何约束的免校准方法来估计注视点。最近的研究已经调查了平滑追踪的眼动（平滑追踪）的人机交互应用程序，我们认为，这些平滑追踪也可以用于眼动跟踪。因此，我们开发了一种方法，用于估计点的凝视使用平滑的追求，而不需要任何隐式和显式的用户校准。在该方法中，从场景图像中提取兴趣点，并且使用与眼睛运动强烈相关的这些点来检测注视点。我们在真实的环境中进行了对比实验，证明了所提出的方法的可行性。
Detecting the point-of-gaze in the real world is a challenging problem in eye-tracking applications. The point-of-gaze is estimated using geometry constraints, and user-calibration is required. In addition, the distances of the focused targets are variable and large in the real world. Therefore, a calibration-free approach without geometry constraints is needed to estimate the point-of-gaze. Recent studies have investigated smooth pursuit eye movements (smooth pursuits) for human-computer interaction applications, and we consider that these smooth pursuits can also be employed in eye tracking. Therefore, we developed a method for estimating the point-of-gaze using smooth pursuits without any requirement for implicit and explicit user-calibration. In this method, interest points are extracted from the scene image, and the point-of-gaze is detected using these points, which are strongly correlated with eye movements. We performed a comparative experiment in a real environment and demonstrated the feasibility of the proposed method.