Proceedings of the 7th international conference on Mobile systems, applications, and services
iMAP: Indirect measurement of air pollution with cellphones
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Common Sense: participatory urban sensing using a network of handheld air quality monitors
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
InAir: sharing indoor air quality measurements and visualizations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
MAQS: a personalized mobile sensing system for indoor air quality monitoring
Proceedings of the 13th international conference on Ubiquitous computing
Sundroid: solar radiation awareness with smartphones
Proceedings of the 13th international conference on Ubiquitous computing
On-the-Fly calibration of low-cost gas sensors
EWSN'12 Proceedings of the 9th European conference on Wireless Sensor Networks
A low-tech sensing system for particulate pollution
Proceedings of the 8th International Conference on Tangible, Embedded and Embodied Interaction
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Environmental exposures are a critical component in the development of chronic conditions such as asthma and cancer. Yet, medical and public health practitioners typically must depend on sparse regional measurements of the environment that provide macro-scale summaries. Recent projects have begun to measure an individual's exposure to these factors, often utilizing body-worn sensors and mobile phones to visualize the data. Such data, collected from many individuals and analyzed across an entire geographic region, holds the potential to revolutionize the practice of public health. We present CitiSense, a participatory air quality sensing system that bridges the gap between personal sensing and regional measurement to provide micro-level detail at a regional scale. In a user study of 16 commuters using CitiSense, measurements were found to vary significantly from those provided by official regional pollution monitoring stations. Moreover, applying geostatistical kriging techniques to our data allows CitiSense to infer a regional map that contains considerably greater detail than official regional summaries. These results suggest that the cumulative impact of many individuals using personal sensing devices may have an important role to play in the future of environmental measurement for public health.