Open Iris - An Open Source Framework for Video-Based Eye-Tracking Research and Development.

Open Iris - An Open Source Framework for Video-Based Eye-Tracking Research and Development.
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Open Iris - 用于基于视频的眼动追踪研究和开发的开源框架。

DOI:
10.1101/2024.02.27.582401
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发表时间:
2024
期刊:
bioRxiv : the preprint server for biology
影响因子:
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通讯作者:
Otero-Millan,Jorge
Otero-Millan,Jorge
中科院分区:
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文献类型:
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作者:
Sadeghi,Roksana;Ressmeyer,Ryan;Yates,Jacob;Otero-Millan,Jorge

文献摘要

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眼动追踪是许多领域的重要工具,但由于成本或缺乏灵活性,现有解决方案通常仅限于定制应用。我们推出 OpenIris,这是一个适应性强且用户友好的开源框架,用于基于视频的眼球追踪。 OpenIris 采用 C# 开发,采用模块化设计,允许通过针对不同硬件系统、跟踪和校准管道的插件进行进一步扩展和定制。它可以通过网络接口从其他设备或程序进行远程控制。可以从摄像机流在线记录眼球运动或离线后处理录制的视频。示例插件已开发用于跟踪 3D 眼动,包括扭转。目前实现的双目瞳孔跟踪管道可以实现超过 500Hz 的帧速率。通过 OpenIris 框架,我们的目标是填补可用于高精度和高速眼动追踪的研究工具的空白,特别是在需要定制解决方案但目前商业眼动追踪器无法提供良好服务的环境中。
Eye-tracking is an essential tool in many fields, yet existing solutions are often limited for customized applications due to cost or lack of flexibility. We present OpenIris, an adaptable and user-friendly open-source framework for video-based eye-tracking. OpenIris is developed in C# with modular design that allows further extension and customization through plugins for different hardware systems, tracking, and calibration pipelines. It can be remotely controlled via a network interface from other devices or programs. Eye movements can be recorded online from camera stream or offline post-processing recorded videos. Example plugins have been developed to track eye motion in 3-D, including torsion. Currently implemented binocular pupil tracking pipelines can achieve frame rates of more than 500Hz. With the OpenIris framework, we aim to fill a gap in the research tools available for high-precision and high-speed eye-tracking, especially in environments that require custom solutions that are not currently well-served by commercial eye-trackers.