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SecondNose: an air quality mobile crowdsensing system

Published: 26 October 2014 Publication History

Abstract

In this paper, we present SecondNose, an air quality mobile crowdsensing service, aimed at collecting environmental data to monitor some air pollution indicators to foster participants' reflection on their overall exposure to pollutants. Currently, SecondNose aggregates more than 30k data points daily from 80 citizens in Trento, northern Italy. The paper describes the system and the results of an initial evaluation. We conclude with an outline of future work on the research and development of SecondNose.

References

[1]
M. Pascal, M. Corso, O. Chanel, C. Declercq, C. Badaloni, G. Cesaroni, S. Henschel, K. Meister, D. Haluza, P. Martin-Olmedo, S. Medina, Assessing the public health impacts of urban air pollution in 25 European cities: Results of the Aphekom project. In Science of The Total Environment, Volume 449, 1 April 2013, Pages 390--400.
[2]
Devarakonda, S., Sevusu, P., Liu, H., Liu, R., Iftode, L., and Badri, N. Real-time Air Quality Monitoring Through Mobile Sensing in Metropolitan Areas. In Proceedings of UrbComp '13. ACM, New York
[3]
Dutta P., Aoki P. M., Kumar N., Mainwaring A., Myers C., Willett W., Woodruff A., 2009. Common Sense: participatory urban sensing using a network of handheld air quality monitors. In Proc. of SenSys '09. ACM, New York.
[4]
http://www.epa.gov/airquality/carbonmonox
[5]
http://www.epa.gov/o3healthtraining/aqi.htm

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  • (2024)The Role of Micromobility in Environmental Monitoring: Reflections and Opportunities on the Use of Pervasive SensingIEEE Pervasive Computing10.1109/MPRV.2024.339190623:2(18-26)Online publication date: Apr-2024
  • (2023)A survey on social-physical sensing: An emerging sensing paradigm that explores the collective intelligence of humans and machinesCollective Intelligence10.1177/263391372311708252:2Online publication date: 1-Apr-2023
  • (2023)Data Quality in Human-Centric Sensing-Based Next-Generation IoT Systems: A Comprehensive Survey of Models, Issues, and ChallengesIEEE Open Journal of the Communications Society10.1109/OJCOMS.2023.33161184(2286-2317)Online publication date: 2023
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    cover image ACM Other conferences
    NordiCHI '14: Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational
    October 2014
    361 pages
    ISBN:9781450325424
    DOI:10.1145/2639189
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 26 October 2014

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    Author Tags

    1. air quality
    2. citizen science
    3. participatory sensing

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    NordiCHI '14 Paper Acceptance Rate 89 of 361 submissions, 25%;
    Overall Acceptance Rate 379 of 1,572 submissions, 24%

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    Cited By

    View all
    • (2024)The Role of Micromobility in Environmental Monitoring: Reflections and Opportunities on the Use of Pervasive SensingIEEE Pervasive Computing10.1109/MPRV.2024.339190623:2(18-26)Online publication date: Apr-2024
    • (2023)A survey on social-physical sensing: An emerging sensing paradigm that explores the collective intelligence of humans and machinesCollective Intelligence10.1177/263391372311708252:2Online publication date: 1-Apr-2023
    • (2023)Data Quality in Human-Centric Sensing-Based Next-Generation IoT Systems: A Comprehensive Survey of Models, Issues, and ChallengesIEEE Open Journal of the Communications Society10.1109/OJCOMS.2023.33161184(2286-2317)Online publication date: 2023
    • (2023)A comprehensive survey on mobile crowdsensing systemsJournal of Systems Architecture10.1016/j.sysarc.2023.102952142(102952)Online publication date: Sep-2023
    • (2023)Blockchain-based decentralized model for mobile crowd-sensingCCF Transactions on Pervasive Computing and Interaction10.1007/s42486-023-00140-x6:1(68-81)Online publication date: 9-Nov-2023
    • (2022)Impacts of Vehicle Speed and Number of Heavy Vehicles on Emissions and Fuel Consumption in Sensitive LocationsTransportation Research Record: Journal of the Transportation Research Board10.1177/036119812211375862677:5(854-869)Online publication date: 28-Nov-2022
    • (2022)Privacy-preserving Worker Selection in Mobile Crowdsensing over Spatial-temporal ConstraintsICC 2022 - IEEE International Conference on Communications10.1109/ICC45855.2022.9838716(4384-4389)Online publication date: 16-May-2022
    • (2022)Sparse Mobile Crowdsensing: Components and Frameworks2022 IEEE World AI IoT Congress (AIIoT)10.1109/AIIoT54504.2022.9817212(773-778)Online publication date: 6-Jun-2022
    • (2021)Crowdsourced Geospatial Infrastructure for Coastal Management and Planning for Emerging Post COVID-19 Tourism DemandTourism and Hospitality10.3390/tourhosp20200162:2(261-276)Online publication date: 12-Jun-2021
    • (2021)Sensing and making sense of tourism flows and urban data to foster sustainability awareness: a real-world experienceJournal of Big Data10.1186/s40537-021-00442-w8:1Online publication date: 24-Mar-2021
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