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同步眼动追踪与光学动作捕捉:如何将它们结合起来。

Synchronizing eye tracking and optical motion capture: How to bring them together.

作者信息

Burger Birgitta, Puupponen Anna, Jantunen Tommi

机构信息

University of Jyväskylä, Finland.

出版信息

J Eye Mov Res. 2018 May 7;11(2). doi: 10.16910/jemr.11.2.5.

Abstract

Both eye tracking and motion capture technologies are nowadays frequently used in human sciences, although both technologies are usually used separately. However, measuring both eye and body movements simultaneously would offer great potential for investigating crossmodal interaction in human (e.g. music and language-related) behavior. Here we combined an Ergoneers Dikablis head mounted eye tracker with a Qualisys Oqus optical motion capture system. In order to synchronize the recordings of both devices, we developed a generalizable solution that does not rely on any (cost-intensive) ready-made / company-provided synchronization solution. At the beginning of each recording, the participant nods quickly while fixing on a target while keeping the eyes open - a motion yielding a sharp vertical displacement in both mocap and eye data. This displacement can be reliably detected with a peak-picking algorithm and used for accurately aligning the mocap and eye data. This method produces accurate synchronization results in the case of clean data and therefore provides an attractive alternative to costly plug-ins, as well as a solution in case ready-made synchronization solutions are unavailable.

摘要

如今,眼动追踪和动作捕捉技术在人类科学中都经常被使用,尽管这两种技术通常是分开使用的。然而,同时测量眼睛和身体的运动对于研究人类(如与音乐和语言相关的)行为中的跨模态交互具有巨大潜力。在这里,我们将Ergoneers Dikablis头戴式眼动追踪器与Qualisys Oqus光学动作捕捉系统相结合。为了同步这两种设备的记录,我们开发了一种通用的解决方案,该方案不依赖于任何(成本高昂的)现成的/公司提供的同步解决方案。在每次记录开始时,参与者在注视目标的同时快速点头,眼睛保持睁开——这种动作在动作捕捉和眼动数据中都会产生明显的垂直位移。这种位移可以通过峰值检测算法可靠地检测到,并用于精确对齐动作捕捉和眼动数据。在数据干净的情况下,这种方法能产生准确的同步结果,因此为昂贵的插件提供了一个有吸引力的替代方案,同时在没有现成同步解决方案时也提供了一种解决办法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fee4/7733527/50203e36945d/jemr-11-02-e-figure-01.jpg

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