demonstration

Citisense: mobile air quality sensing for individuals and communities

Authors:

William GriswoldAuthors Info & Claims

SPLASH '12: Proceedings of the 3rd annual conference on Systems, programming, and applications: software for humanity

Pages 23 - 24

https://doi.org/10.1145/2384716.2384728

Published: 19 October 2012 Publication History

Get Access

Abstract

Air quality has great impact on individual and community health. In this demonstration, we present Citisense: a mobile air quality system that enables users to track their personal air quality exposure for discovery, self-reflection, and sharing within their local communities and online social networks.

References

[1]

E. P. Agency. National Air Quality -- Status and Trends through 2007, Highlights, 2007. URL Highlights. http://www.epa.gov/air/airtrends/2008/report/\\Highlights.pdf.

Google Scholar

[2]

E. Bales, N. Nikzad, N. Quick, C. Ziftci, K. Patrick, and W. Griswold. Citisense: Mobile Air Quality Sensing for Individuals and Communities. In Pervasive Health 2012, 2012.

Google Scholar

Cited By

View all

Krupp B(2022)Fine-Grained Air Quality Monitoring with Low-Cost Sensors and IoT: Trends, Challenges, and Future Directions2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)10.23919/SpliTech55088.2022.9854310(1-6)Online publication date: 5-Jul-2022
https://doi.org/10.23919/SpliTech55088.2022.9854310
Gui BKang BMeng XZhang L(2020)Privacy-Preserving Task Allocation Based on QoS in Crowd Sensing2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)10.1109/ICAIIS49377.2020.9194848(71-75)Online publication date: Mar-2020
https://doi.org/10.1109/ICAIIS49377.2020.9194848
Heydon JChakraborty R(2020)Can portable air quality monitors protect children from air pollution on the school run? An exploratory studyEnvironmental Monitoring and Assessment10.1007/s10661-020-8153-1192:3Online publication date: 21-Feb-2020
https://doi.org/10.1007/s10661-020-8153-1
Show More Cited By

Index Terms

Citisense: mobile air quality sensing for individuals and communities
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Software architectures

Recommendations

Continuous In-Situ Soundings in the Arctic Boundary Layer: A New Atmospheric Measurement Technique Using Controlled Meteorological Balloons

Controlled Meteorological (CMET) balloons are small airborne platforms that use reversible lift-gas compression to regulate altitude. These balloons have approximately the same payload mass as standard weather balloons but can float for many days, ...
Design and Development of a University Outdoor Air Quality Monitoring System
Abstract
An increase in air quality monitoring research using low-cost air quality sensors has been observed. Existing air quality monitoring systems provide real-time data on at most five primary pollutants, cover a short area, and could be made ...
Towards Fine-Grained Air Quality Sensing in Urban Environments
SenSys '22: Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems

This paper presents preliminary findings from a deployment of an Internet of Things (IoT) air quality sensor that can provide realtime and historical fine-grained air quality data. Current air quality data provided to communities may be inaccurate ...

Comments

Information & Contributors

Information

Published In

SPLASH '12: Proceedings of the 3rd annual conference on Systems, programming, and applications: software for humanity

October 2012

252 pages

ISBN:9781450315630

DOI:10.1145/2384716

General Chair:
Gary T. Leavens
University of Central Florida

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 October 2012

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Demonstration

Conference

SPLASH '12

Sponsor:

SIGPLAN

SPLASH '12: Conference on Systems, Programming, and Applications: Software for Humanity

October 19 - 26, 2012

Arizona, Tucson, USA

Upcoming Conference

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

11
Total Citations
View Citations
303
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)1

Reflects downloads up to 22 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Krupp B(2022)Fine-Grained Air Quality Monitoring with Low-Cost Sensors and IoT: Trends, Challenges, and Future Directions2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)10.23919/SpliTech55088.2022.9854310(1-6)Online publication date: 5-Jul-2022
https://doi.org/10.23919/SpliTech55088.2022.9854310
Gui BKang BMeng XZhang L(2020)Privacy-Preserving Task Allocation Based on QoS in Crowd Sensing2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)10.1109/ICAIIS49377.2020.9194848(71-75)Online publication date: Mar-2020
https://doi.org/10.1109/ICAIIS49377.2020.9194848
Heydon JChakraborty R(2020)Can portable air quality monitors protect children from air pollution on the school run? An exploratory studyEnvironmental Monitoring and Assessment10.1007/s10661-020-8153-1192:3Online publication date: 21-Feb-2020
https://doi.org/10.1007/s10661-020-8153-1
Huang MWu X(2019)A Review of Air Quality Monitoring System Based on CrowdsensingInternational Symposium for Intelligent Transportation and Smart City (ITASC) 2019 Proceedings10.1007/978-981-13-7542-2_28(286-296)Online publication date: 10-Apr-2019
https://doi.org/10.1007/978-981-13-7542-2_28
Kaur SSaini P(2017)Deadline-aware MapReduce scheduling with selective speculative execution2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)10.1109/ICCCNT.2017.8204109(1-5)Online publication date: Jul-2017
https://doi.org/10.1109/ICCCNT.2017.8204109
Kaur ABansal DSingla S(2017)A review on estimating the effects of inhaling airborne pollutants and air quality monitoring2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)10.1109/ICCCNT.2017.8203980(1-7)Online publication date: Jul-2017
https://doi.org/10.1109/ICCCNT.2017.8203980
Kaur SSingh W(2017)Systematic mapping study of big data mining tools and techniques2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)10.1109/ICCCNT.2017.8203972(1-7)Online publication date: Jul-2017
https://doi.org/10.1109/ICCCNT.2017.8203972
Kotsev ASchade SCraglia MGerboles MSpinelle LSignorini M(2016)Next Generation Air Quality Platform: Openness and Interoperability for the Internet of ThingsSensors10.3390/s1603040316:3(403)Online publication date: 18-Mar-2016
https://doi.org/10.3390/s16030403
Dayama PNarayanaswamy BGarg DNarahari YWeiss GYolum PBordini RElkind E(2015)Truthful Interval Cover Mechanisms for Crowdsourcing ApplicationsProceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems10.5555/2772879.2773290(1091-1099)Online publication date: 4-May-2015
https://dl.acm.org/doi/10.5555/2772879.2773290
Antonic ABilas VMarjanovic MMatijasevic MOletic DPavelic MZarko IPripuzic KSkorin-Kapov L(2014)Urban crowd sensing demonstrator: Sense the Zagreb Air2014 22nd International Conference on Software, Telecommunications and Computer Networks (SoftCOM)10.1109/SOFTCOM.2014.7039132(423-424)Online publication date: Sep-2014
https://doi.org/10.1109/SOFTCOM.2014.7039132
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Continuous In-Situ Soundings in the Arctic Boundary Layer: A New Atmospheric Measurement Technique Using Controlled Meteorological Balloons

Design and Development of a University Outdoor Air Quality Monitoring System

Towards Fine-Grained Air Quality Sensing in Urban Environments

Comments

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Upcoming Conference

Other Metrics

Article Metrics

Other Metrics

Cited By

Login options

Full Access

PDF

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Continuous In-Situ Soundings in the Arctic Boundary Layer: A New Atmospheric Measurement Technique Using Controlled Meteorological Balloons

Design and Development of a University Outdoor Air Quality Monitoring System

Towards Fine-Grained Air Quality Sensing in Urban Environments

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Author Tags

Qualifiers

Conference

Upcoming Conference

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations