TY - GEN
T1 - AirSense
T2 - 5th ACM International Workshop on Pervasive Wireless Healthcare, MobileHealth 2015
AU - Zhuang, Yan
AU - Lin, Feng
AU - Eun-Hye, Yoo
AU - Xu, Wenyao
N1 - Publisher Copyright: Copyright © 2015 ACM.
PY - 2015/6/22
Y1 - 2015/6/22
N2 - Health eects attributed to air pollution, especially ambient fine particulate matter (PM2:5), become a global issue. The central environment monitoring networks provide limited spatial coverage and no contextual information. However, there is no solution to take contextual information, such as environmental and user behavioral factors, into account, which is highly associated to the variability of air quality level and the complex relationship between air quality and human activities. In this paper, we design, implement, and evaluate a new context-sensing device for personal air quality monitoring, namely AirSense. AirSense is a portable and cost-eective platform, which is equipped with a dust sensor, a global position system (GPS) sensor, a temperature and humidity sensor, and an accelerometer sensor. The development of such a user-centered and geographicalinformation integrated platform enables us to collect finegrained air quality along with contextual information. We evaluate the platform across a set of focused settings, such as the indoor vs outdoor, walking vs in-vehicle, moving vs stationary, and an environment with various levels of dust. Meanwhile, a user study is conducted to verify that AirSense is capatable of performing the ambient air quality monitoring in daily life. We also discuss several other applications with the new context-sensing platform.
AB - Health eects attributed to air pollution, especially ambient fine particulate matter (PM2:5), become a global issue. The central environment monitoring networks provide limited spatial coverage and no contextual information. However, there is no solution to take contextual information, such as environmental and user behavioral factors, into account, which is highly associated to the variability of air quality level and the complex relationship between air quality and human activities. In this paper, we design, implement, and evaluate a new context-sensing device for personal air quality monitoring, namely AirSense. AirSense is a portable and cost-eective platform, which is equipped with a dust sensor, a global position system (GPS) sensor, a temperature and humidity sensor, and an accelerometer sensor. The development of such a user-centered and geographicalinformation integrated platform enables us to collect finegrained air quality along with contextual information. We evaluate the platform across a set of focused settings, such as the indoor vs outdoor, walking vs in-vehicle, moving vs stationary, and an environment with various levels of dust. Meanwhile, a user study is conducted to verify that AirSense is capatable of performing the ambient air quality monitoring in daily life. We also discuss several other applications with the new context-sensing platform.
KW - Context Sensing
KW - Evaluation
KW - Personal Air Quality Monitoring
UR - https://www.scopus.com/pages/publications/85018250181
U2 - 10.1145/2757290.2757293
DO - 10.1145/2757290.2757293
M3 - Conference contribution
T3 - MobileHealth 2015 - Proceedings of the 2015 Workshop on Pervasive Wireless Healthcare, co-located with MobiHoc 2015
SP - 17
EP - 22
BT - MobileHealth 2015 - Proceedings of the 2015 Workshop on Pervasive Wireless Healthcare, co-located with MobiHoc 2015
PB - Association for Computing Machinery, Inc
Y2 - 22 June 2015 through 22 June 2015
ER -