ExposureSense: Integrating Daily Activities with Air Quality using Mobile Participatory Sensing

With an increasing number of rich embedded sensors, like accelerometer and GPS, smartphone becomes a pervasive people-centric sensing platform for inferring user’s daily activities and social contexts. Alternatively, wireless sensor network offers a comprehensive platform for capturing the surrounding environmental information using mobile sensing nodes, e.g., the OpenSense project [2] in Switzerland deploying air quality sensors like CO on public transports like buses and trams. The two sensing platforms are typically isolated from each other. In this paper, we build ExposureSense, a rich mobile participatory sensing infrastructure that integrates the two independent sensing paradigms. ExposureSense is able to monitor people’s daily activities as well to compute a reasonable estimation of pollution exposure in their daily life. Besides using external sensor networks, ExposureSense also supports pluggable sensors (e.g., O3) to further enrich air quality data using mobile participatory sensing with smartphones.


Presented at:
IEEE International Conference on Pervasive Computing and Communication, San Diego, California, USA, March 18-22, 2013
Year:
2013
Keywords:
Note:
Demo Paper
Laboratories:




 Record created 2013-04-04, last modified 2018-09-13


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