一种经济实惠的可穿戴立体眼追踪平台
An Affordable, Wearable Stereo-Eye-Tracking Platform
AI总结：
本文提出了一种经济实惠的可穿戴立体眼追踪平台，通过模块化设计支持多种眼追踪方法，提供开放的硬件设计和文档，便于研究和开发。
摘要：
关于基于视频的眼追踪研究长期以来探索了立体和反光方法，但现有可穿戴眼追踪器，无论是商业还是开源的，都限制了算法开发和比较评估的灵活性。我们提出了一种经济实惠、可穿戴的立体眼追踪平台，由市售和3D打印组件构成，专门针对这一缺口。该系统结合四个红外眼摄像头、红外照明、可选场景摄像头以及软件支持的校准和同步数据采集。通过设计，该平台支持多种眼追踪范式，包括立体、反光和双目方法，在单一硬件配置中。与其优化终端用户鲁棒性不同，该平台优先考虑模块化和可扩展性用于研究用途。本文重点研究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。所有硬件设计和文档均公开可用。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
