Towards a societal scale, mobile sensing system
- Author(s): Honicky Jr., Richard Edward
- Advisor(s): Brewer, Eric A
- et al.
With the proliferation of sensor equipped smart phones, and
augmented reality applications fast appearing, the mobile phone is
becoming something much more than a scaled-down, connected IO and
processing device. In addition to these standard PC traits, a cell
phone is situated in an environment, mobile, and typically
co-located with a user. These traits make the cell-phone ideally
suited to track and understand the impact that the environment has
on individuals, communities and cities, as well as to understand how
humans effect their environment.
In this dissertation, I explore the possibility of building a
societal-scale, mobile sensing system to monitor pollution and other
environmental factors, using low cost-sensors embedded into mobile
phones. I will discuss several hardware platforms we used to study
mobile sensing over the course of three field campaigns, models of
pollution dispersion, sensor characterization and its impact on
model parameters, automatic calibration and increasing precision in
densely sampled regions.