PDF(Pubmed)
Abstract：
BACKGROUND: Accurate real-time eye tracking is crucial in oculomotor system research. While the scleral search coil system is the gold standard, its implantation procedure and bulkiness pose challenges. Camera-based systems are affected by ambient lighting and require high computational and electric power.
METHODS: This study presents a novel eye tracker using proximity capacitive sensors made of carbon-nanotube-paper-composite (CPC). These sensors detect femtofarad-level capacitance changes caused by primate corneal movement during horizontal and vertical eye rotations. Data processing and machine learning algorithms are evaluated to enhance the accuracy of gaze angle prediction.
RESULTS: The system performance is benchmarked against the scleral coil during smooth pursuits, saccades tracking, and fixations. The eye tracker demonstrates up to 0.97 correlation with the coil in eye tracking and is capable of estimating gaze angle with a median absolute error as low as 0.30°.
UNASSIGNED: The capacitive eye tracker demonstrates good consistency and accuracy in comparison to the gold-standard scleral search coil method.
CONCLUSIONS: This lightweight, non-invasive capacitive eye tracker offers potential as an alternative to traditional coil and camera-based systems in oculomotor research and vision science.
METHODS: This study presents a novel eye tracker using proximity capacitive sensors made of carbon-nanotube-paper-composite (CPC). These sensors detect femtofarad-level capacitance changes caused by primate corneal movement during horizontal and vertical eye rotations. Data processing and machine learning algorithms are evaluated to enhance the accuracy of gaze angle prediction.
RESULTS: The system performance is benchmarked against the scleral coil during smooth pursuits, saccades tracking, and fixations. The eye tracker demonstrates up to 0.97 correlation with the coil in eye tracking and is capable of estimating gaze angle with a median absolute error as low as 0.30°.
UNASSIGNED: The capacitive eye tracker demonstrates good consistency and accuracy in comparison to the gold-standard scleral search coil method.
CONCLUSIONS: This lightweight, non-invasive capacitive eye tracker offers potential as an alternative to traditional coil and camera-based systems in oculomotor research and vision science.
摘要：
背景：准确的实时眼动跟踪在动眼系统研究中至关重要。虽然巩膜搜索线圈系统是黄金标准，其植入程序和体积构成挑战。基于相机的系统受到环境照明的影响,并且需要高的计算和电力。新方法本研究提出了一种新颖的眼睛跟踪器，该跟踪器使用由碳纳米管纸复合材料（CPC）制成的接近电容传感器。这些传感器检测在水平和垂直眼睛旋转期间由灵长类角膜运动引起的飞法水平电容变化。对数据处理和机器学习算法进行评估，以提高注视角度预测的准确性。
结果：在平稳的追求过程中，系统性能以巩膜线圈为基准，扫视跟踪，和固定。眼睛跟踪器在眼睛跟踪中显示出高达0.97的与线圈的相关性,并且能够以低至0.30°的中值绝对误差估计注视角度。比较与黄金标准巩膜搜索线圈方法相比,电容式眼睛跟踪器展示出良好的一致性和准确性。
结论：这种轻量级，在动眼研究和视觉科学中，非侵入性电容式眼动仪提供了替代传统线圈和基于相机的系统的潜力。
结果：在平稳的追求过程中，系统性能以巩膜线圈为基准，扫视跟踪，和固定。眼睛跟踪器在眼睛跟踪中显示出高达0.97的与线圈的相关性,并且能够以低至0.30°的中值绝对误差估计注视角度。比较与黄金标准巩膜搜索线圈方法相比,电容式眼睛跟踪器展示出良好的一致性和准确性。
结论：这种轻量级，在动眼研究和视觉科学中，非侵入性电容式眼动仪提供了替代传统线圈和基于相机的系统的潜力。
