论文标题
继电器：使用人造眼对眼线线1000的机器人眼线线分析
RELAY: Robotic EyeLink AnalYsis of the EyeLink 1000 using an Artificial Eye
论文作者
论文摘要
有一个广泛的假设是，黑暗中视觉引导的扫视的峰值速度比在光线下的峰值慢10〜 \％。质疑周围亮度条件的影响，得出不同结论的研究，无论它们是否有影响，如果是这样，则以这种方式。该问题是具有复杂性质的，因为照明条件本身可能不仅仅导致不同的测量峰速度，而是由于其在扫视过程中或不同凝视位置的变形而与学生大小的估计结合在一起。即使是基于视频的眼动追踪本身的测量技术也可能发挥重要作用。为了调查这个问题，我们在三种不同的亮度条件下，使用Eyelink 1000（最常见的使用眼痕迹之一）构建了带有固定瞳孔大小的步进运动驱动的人造眼，以模仿人类扫视，并具有预定的峰值速度\＆振幅。目的是控制学生和亮度。有了我们的设备，可以确认眼线线1000的整体良好精度和精度。此外，我们可以发现，基于瞳孔的亮度条件（均不适合瞳孔大小，也不适合峰值速度，基于瞳孔的眼睛跟踪没有伪像。我们发现的是，测得的学生大小是不同凝视方向的函数的系统性，小而显着的变化。
There is a widespread assumption that the peak velocities of visually guided saccades in the dark are up to 10~\% slower than those made in the light. Studies that questioned the impact of the surrounding brightness conditions, come to differing conclusions, whether they have an influence or not and if so, in which manner. The problem is of a complex nature as the illumination condition itself may not contribute to different measured peak velocities solely but in combination with the estimation of the pupil size due to its deformation during saccades or different gaze positions. Even the measurement technique of video-based eye tracking itself could play a significant role. To investigate this issue, we constructed a stepper motor driven artificial eye with fixed pupil size to mimic human saccades with predetermined peak velocity \& amplitudes under three different brightness conditions with the EyeLink 1000, one of the most common used eye trackers. The aim was to control the pupil and brightness. With our device, an overall good accuracy and precision of the EyeLink 1000 could be confirmed. Furthermore, we could find that there is no artifact for pupil based eye tracking in relation to changing brightness conditions, neither for the pupil size nor for the peak velocities. What we found, was a systematic, small, yet significant change of the measured pupil sizes as a function of different gaze directions.
