低成本可穿戴双目眼动追踪平台，支持多种算法测试。
An Affordable, Wearable Stereo-Eye-Tracking Platform
- 用现成零件和3D打印件搭建可扩展硬件平台。
- 支持双目、光斑、立体等多种眼动追踪方式。
- 适合研究者做算法对比与开发，开源共享。
基于视频的眼动追踪研究长期关注双目和光斑方法，但现有可穿戴设备（无论商用或开源）在算法开发与对比评估方面灵活性有限。本文提出一个低成本、可穿戴的双目眼动追踪平台，由现成组件和3D打印件构成，明确填补该空白。系统包含四个红外眼摄像头、红外光源、可选场景相机，以及校准与同步数据采集的软件支持。设计上支持单硬件配置下实现双目、光斑及双目综合等多种眼动追踪范式，不追求终端用户鲁棒性，而强调模块化与可扩展性以适配研究需求。本文聚焦硬件架构与校准流程，并通过原型验证可行性。所有硬件设计与文档均开源共享。
原文摘要 · Abstract (English)
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.
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