Andrew Rebeiro-Hargrave

TL;DR: A research vision of real-time massive scale air quality sensing that integrates tens of thousands or even millions of air quality sensors to monitor air quality at fine spatial and temporal resolution is presented.

TL;DR: A feasibility study considers measurements collected from a smart office environment having a dense deployment of motion detectors and correlating measurements obtained from motion detectors against air quality values, and demonstrates that there indeed is a connection between extent of movement and PM2.5 concentration.

TL;DR: The design and development of the MegaSense Cyber-Physical System (CPS) for spatially distributed IoT-based monitoring of urban air quality and its applications have applications in policy intervention management mechanisms and design of clean air routing and healthier navigation applications to reduce pollution exposure.

TL;DR: In this paper, the feasibility of using wearable low-cost pollution sensors for capturing the total exposure of commuters is analyzed by using extensive experiments carried out in the Helsinki metropolitan region, and they demonstrate that wearable sensors can capture subtle variations caused by differing routes, passenger density, location within a carriage, and other factors.