research-article

AirSense: A Portable Context-sensing Device for Personal Air Quality Monitoring

Authors:

Wenyao XuAuthors Info & Claims

MobileHealth '15: Proceedings of the 2015 Workshop on Pervasive Wireless Healthcare

Pages 17 - 22

https://doi.org/10.1145/2757290.2757293

Published: 22 June 2015 Publication History

Abstract

Health effects attributed to air pollution, especially ambient fine particulate matter (PM_2.5), 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-effective 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 geographical-information integrated platform enables us to collect fine-grained 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.

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Zarrar HDyo V(2023)Drive-by Air Pollution Sensing Systems: Challenges and Future DirectionsIEEE Sensors Journal10.1109/JSEN.2023.330577923:19(23692-23703)Online publication date: 1-Oct-2023
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Index Terms

AirSense: A Portable Context-sensing Device for Personal Air Quality Monitoring
1. Information systems

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Published In

cover image ACM Conferences

MobileHealth '15: Proceedings of the 2015 Workshop on Pervasive Wireless Healthcare

June 2015

66 pages

ISBN:9781450335256

DOI:10.1145/2757290

Program Chairs:
Emmanuel Baccelli
INRIA, Paris, France
,
Hassan Ghasemzadeh
Washington State University, USA
,
Gustavo Marfia
University of Bologna, Italy
,
Krishna Venkatasubramanian
Worcester Polytechnic Institute, USA

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 June 2015

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MobiHoc'15

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SIGMOBILE

MobiHoc'15: The Sixteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing

June 22, 2015

Hangzhou, China

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Overall Acceptance Rate 15 of 25 submissions, 60%

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Cited By

Shtaierman SFontes CLütge C(2024)The Potentials and Limitations of Agent-Based Models for Urban Digital Twins: Insights From a Surveillance and Behavioral Nudging SimulationUrban Planning10.17645/up.861310Online publication date: 31-Oct-2024
https://doi.org/10.17645/up.8613
Rivera APonce PMata OMolina AMeier A(2023)Local Weather Station Design and Development for Cost-Effective Environmental Monitoring and Real-Time Data SharingSensors10.3390/s2322906023:22(9060)Online publication date: 9-Nov-2023
https://doi.org/10.3390/s23229060
Zarrar HDyo V(2023)Drive-by Air Pollution Sensing Systems: Challenges and Future DirectionsIEEE Sensors Journal10.1109/JSEN.2023.330577923:19(23692-23703)Online publication date: 1-Oct-2023
https://doi.org/10.1109/JSEN.2023.3305779
Kumar TDoss A(2023)AIROProcedia Computer Science10.1016/j.procs.2023.01.008218:C(262-273)Online publication date: 1-Jan-2023
https://dl.acm.org/doi/10.1016/j.procs.2023.01.008
Khan AChandra SParameshwara M(2022)Air quality monitoring and management system model of vehicles based on the internet of thingsEngineering Research Express10.1088/2631-8695/ac67914:2(025014)Online publication date: 25-Apr-2022
https://doi.org/10.1088/2631-8695/ac6791
Dessimond BAnnesi-Maesano IPepin JSrairi SPau G(2021)Academically Produced Air Pollution Sensors for Personal Exposure Assessment: The Canarin ProjectSensors10.3390/s2105187621:5(1876)Online publication date: 8-Mar-2021
https://doi.org/10.3390/s21051876
Lu ELiu C(2021)A Spatial-Temporal Approach for Air Quality Forecast in Urban AreasApplied Sciences10.3390/app1111497111:11(4971)Online publication date: 28-May-2021
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Canu MGálvis BMadelin M(2021)What does the Shinyei PPD42NS Low-Cost Dust Sensor Really Measure?International Journal of Environmental Science and Development10.18178/ijesd.2021.12.1.131012:1(1-9)Online publication date: 2021
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Nakada RLi ZPei TNguyen KSekiya H(2021)An IOTA-Based Micropayment System for Air Quality Monitoring Application2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)10.1109/VTC2021-Fall52928.2021.9625358(1-6)Online publication date: Sep-2021
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Fekih MBechkit WRivano HDahan MRenard FAlonso LPineau F(2021)Participatory Air Quality and Urban Heat Islands Monitoring SystemIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2020.303498770(1-14)Online publication date: 2021
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