Toward wearable, crowd-sourced air quality monitoring for respiratory disease

Abstract

In this work, we demonstrate the alpha prototype for a wearable air quality sensor system. This system will be used to create precise, high-resolution maps of the environment to help individuals with respiratory disease track their response to pollutants, determine when to pre-medicate, or avoid areas with poor air quality altogether. The data from such a map will provide improved accuracy over the single air quality index value provided for large metropolitan areas. We provide data from continuous monitoring over several locations to demonstrate the difference that can be observed within a small geographic area.