EpiFi: An in-Home IoT Architecture for Epidemiological Deployments

@article{Lundrigan2018EpiFiAI,
  title={EpiFi: An in-Home IoT Architecture for Epidemiological Deployments},
  author={Philip Lundrigan and Kyeong T. Min and Neal Patwari and S. Kasera and K. Kelly and Jimmy Moore and Miriah D. Meyer and S. Collingwood and F. Nkoy and B. Stone and K. Sward},
  journal={2018 IEEE 43rd Conference on Local Computer Networks Workshops (LCN Workshops)},
  year={2018},
  pages={30-37}
}
We design and build EpiFi, a novel architecture for in-home sensor networks which allows epidemiologists to easily design and deploy exposure sensing systems in homes. We work collaboratively with pediatric asthma researchers to design multiple studies and deploy EpiFi in homes. Here, we report on experiences from two years of deployments in 15 homes, of two different types of studies, including many deployments continuously monitored over the past year. Based on lessons learned from these… Expand
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