Research on video-based eye-tracking has long explored stereo and glint-based methods, yet existing wearable eye trackers - both commercial and open-source - offer limited flexibility for algorithm development and comparative evaluation. We present an affordable, wearable stereo eye-tracking platform built from off-the-shelf and 3D-printable components that explicitly targets this gap. The system combines four infrared eye cameras, infrared illumination, an optional scene camera, and software support for calibration and synchronized data acquisition. By design, the platform supports multiple eye-tracking paradigms, including stereo, glint-based, and binocular approaches, within a single hardware configuration. Rather than optimizing for end-user robustness, the platform prioritizes modularity and extensibility for research use. This paper focuses on the hardware architecture and calibration pipeline and demonstrates the feasibility of the approach using a prototype implementation. All hardware designs and documentation are made openly available.

翻译：基于视频的眼动追踪研究长期以来一直在探索立体和闪烁点方法，然而现有的可穿戴眼动追踪器——无论是商业产品还是开源方案——在算法开发和比较评估方面的灵活性都十分有限。我们提出了一种价格低廉、可穿戴的立体眼动追踪平台，该平台由现成组件和3D打印部件构建，明确针对这一研究空白。该系统集成了四台红外眼动摄像机、红外照明、一个可选场景摄像机，以及用于校准和同步数据采集的软件支持。在设计上，该平台在单一硬件配置下支持多种眼动追踪范式，包括立体法、闪烁点法和双目法。该平台并未针对终端用户的鲁棒性进行优化，而是优先考虑了面向研究用途的模块化和可扩展性。本文着重介绍了硬件架构和校准流程，并通过原型实现证明了该方法的可行性。所有硬件设计文档均已完全公开。