Continuous Pupillography: A Case for Visual Health Ecosystem
Abstract
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.
Cite
@article{arxiv.2410.12303,
title = {Continuous Pupillography: A Case for Visual Health Ecosystem},
author = {Usama Younus and Nirupam Roy},
journal= {arXiv preprint arXiv:2410.12303},
year = {2024}
}