ExposureSense: Integrating daily activities with air quality using mobile participatory sensing

Abstract

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.

Crowdsensing: Socio-Technical Challenges and Opportunities

“…The END (European Noise Directive) [14] Mobile phones were also used to collect the information of on the road diesel trace to study community exposure to urban air pollution [15]. ExposureSense [16] explored the integration of Wireless Sensor Network and participatory sensing paradigms for personal air quality exposure measurement. The BikeNet application [17] could measure CO 2 level and also report the path of a cyclist activity.…”

A Sensor-based Learning Public Health System

“…The use of participatory sensing is of increasing interest in a number of application areas including air quality and pollution sensing [3] through the use of external air quality sensors, urban area noise level data [4], urban traffic analysis through the use of vehicle mounted sensors [5] and vehicle fuel efficiency [6], amongst many other applications.…”

Survey of smartphone‐based sensing in vehicles for intelligent transportation system applications

“…Among the millions of M2M devices that will be deployed world-wide in the coming years, smartphones will be the most mobile, versatile and powerful devices that can be used as sensors and M2M gateways [12]. Therefore much research has been done on smartphone sensing applications in recent years [12,13,14,15,16,17,18,19,20,21,22,23].…”