提出连续瞳孔监测生态，用可穿戴设备实现眼健康长期追踪。
Continuous Pupillography: A Case for Visual Health Ecosystem
- 设计基于物联网的连续瞳孔检测系统，适配微型控制器
- 对比两款市售微型摄像头在不同光照下的表现
- 适合关注眼健康与智能可穿戴设备的开发者
本文探讨瞳孔测量学（pupillography）在眼科诊断中的潜力，推动构建以持续眼部监测为核心的健康生态系统。随着日常生活中技术的深度融合及智能设备研究的推进，文章总结了基于物联网的连续瞳孔检测系统的设计约束与需求，并提出一套可穿戴瞳孔测量设备的实现流程。通过对比当前市场两款紧凑型微型摄像头的表现，采用轻量级算法适配现有微控制器，在多种光照条件与使用场景下验证可行性。最后分析面临的挑战，并展望构建该生态系统的可行路径。
原文摘要 · Abstract (English)
This article aims to cover pupillography, and its potential use in a number of ophthalmological diagnostic applications in biomedical space. With the ever-increasing incorporation of technology within our daily lives and an ever-growing active research into smart devices and technologies, we try to make a case for a health ecosystem that revolves around continuous eye monitoring. We tend to summarize the design constraints & requirements for an IoT-based continuous pupil detection system, with an attempt at developing a pipeline for wearable pupillographic device, while comparing two compact mini-camera modules currently available in the market. We use a light algorithm that can be directly adopted to current micro-controllers, and share our results for different lighting conditions, and scenarios. Lastly, we present our findings, along with an analysis on the challenges faced and a way ahead towards successfully building this ecosystem.
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