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Citisense: mobile air quality sensing for individuals and communities

Published: 19 October 2012 Publication History

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.
[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.

Cited By

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  • (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
  • (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
  • (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
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    cover image ACM Conferences
    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

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 19 October 2012

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    Author Tags

    1. air pollution
    2. mobile systems
    3. ubiquitous systems

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    View all
    • (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
    • (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
    • (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
    • (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
    • (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
    • (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
    • (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
    • (2016)Next Generation Air Quality Platform: Openness and Interoperability for the Internet of ThingsSensors10.3390/s1603040316:3(403)Online publication date: 18-Mar-2016
    • (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
    • (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
    • Show More Cited By

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