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.
Title
Towards a societal scale, mobile sensing system
Published
EECS Department, University of California, University of California at Berkeley, Berkeley, California, February 1, 2011
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Other Identifiers
EECS-2011-9
Type
Text
Extent
133 p
Archive
The Engineering Library
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