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Retrofitting smartphones to be used as particulate matter dosimeters

Authors:

Michael BeiglAuthors Info & Claims

ISWC '13: Proceedings of the 2013 International Symposium on Wearable Computers

Pages 139 - 140

https://doi.org/10.1145/2493988.2494342

Published: 08 September 2013 Publication History

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Abstract

This work discusses ways of measuring particulate matter with mobile devices. Solutions using a dedicated sensor device are presented along with a novel method of retrofitting a sensor to a camera phone without need for electrical modifications. Instead, the flash and camera of the phone are used as light source and receptor of an optical dust sensor respectively. Experiments to evaluate the accuracy are presented.

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Cited By

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Yang HShin SSeo DPark JSeo S(2021)Detection of Particulate Matters with a Field-Portable Microscope Using Side-Illuminated Total Internal ReflectionSensors10.3390/s2108274521:8(2745)Online publication date: 13-Apr-2021
https://doi.org/10.3390/s21082745
Molaie SLino P(2021)Review of the Newly Developed, Mobile Optical Sensors for Real-Time Measurement of the Atmospheric Particulate Matter ConcentrationMicromachines10.3390/mi1204041612:4(416)Online publication date: 9-Apr-2021
https://doi.org/10.3390/mi12040416
Molaie SLino P(2020)A Review on Newly Designed Mobile Optical Particle Counters for Monitoring of Airborne Particulate Matter2020 22nd International Conference on Transparent Optical Networks (ICTON)10.1109/ICTON51198.2020.9203243(1-5)Online publication date: Jul-2020
https://doi.org/10.1109/ICTON51198.2020.9203243
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Index Terms

Retrofitting smartphones to be used as particulate matter dosimeters
1. Hardware
  1. Communication hardware, interfaces and storage

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Published In

ISWC '13: Proceedings of the 2013 International Symposium on Wearable Computers

September 2013

160 pages

ISBN:9781450321273

DOI:10.1145/2493988

General Chair:
Kristof Van Laerhoven
TU Darmstadt, Germany
,
Program Chairs:
Daniel Roggen
Newcastle University, UK
,
Daniel Gatica-Perez
Idiap and EPFL, Switzerland
,
Masaaki Fukumoto
Microsoft Research Asia, China

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 the author(s) 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].

In-Cooperation

SIGSPATIAL: ACM Special Interest Group on Spatial Information

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 September 2013

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Poster

Conference

UbiComp '13

Sponsor:

SIGMOBILE
University of Florida
SIGCHI

UbiComp '13: The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 8 - 12, 2013

Zurich, Switzerland

Acceptance Rates

ISWC '13 Paper Acceptance Rate 20 of 101 submissions, 20%;

Overall Acceptance Rate 38 of 196 submissions, 19%

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Citations

Cited By

View all

Yang HShin SSeo DPark JSeo S(2021)Detection of Particulate Matters with a Field-Portable Microscope Using Side-Illuminated Total Internal ReflectionSensors10.3390/s2108274521:8(2745)Online publication date: 13-Apr-2021
https://doi.org/10.3390/s21082745
Molaie SLino P(2021)Review of the Newly Developed, Mobile Optical Sensors for Real-Time Measurement of the Atmospheric Particulate Matter ConcentrationMicromachines10.3390/mi1204041612:4(416)Online publication date: 9-Apr-2021
https://doi.org/10.3390/mi12040416
Molaie SLino P(2020)A Review on Newly Designed Mobile Optical Particle Counters for Monitoring of Airborne Particulate Matter2020 22nd International Conference on Transparent Optical Networks (ICTON)10.1109/ICTON51198.2020.9203243(1-5)Online publication date: Jul-2020
https://doi.org/10.1109/ICTON51198.2020.9203243
Budde MLeiner SKöpke MRiesterer JRiedel TBeigl M(2019)FeinPhone: Low-cost Smartphone Camera-based 2D Particulate Matter SensorSensors10.3390/s1903074919:3(749)Online publication date: 12-Feb-2019
https://doi.org/10.3390/s19030749
Xu YZhu YShen YYu J(2019)Fine-Grained Air Quality Inference with Remote Sensing Data and Ubiquitous Urban DataACM Transactions on Knowledge Discovery from Data10.1145/334084713:5(1-27)Online publication date: 24-Sep-2019
https://dl.acm.org/doi/10.1145/3340847
Capponi AFiandrino CKantarci BFoschini LKliazovich DBouvry P(2019)A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and OpportunitiesIEEE Communications Surveys & Tutorials10.1109/COMST.2019.291403021:3(2419-2465)Online publication date: Nov-2020
https://doi.org/10.1109/COMST.2019.2914030
Budde MRiedel T(2018)Challenges in Capturing and Analyzing High Resolution Urban Air Quality DataProceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers10.1145/3267305.3274762(1162-1165)Online publication date: 8-Oct-2018
https://dl.acm.org/doi/10.1145/3267305.3274762
Budde MSchankin AHoffmann JDanz MRiedel TBeigl M(2017)Participatory Sensing or Participatory Nonsense?Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31319001:3(1-23)Online publication date: 11-Sep-2017
https://dl.acm.org/doi/10.1145/3131900
Carminati MFerrari GSampietro M(2017)Emerging miniaturized technologies for airborne particulate matter pervasive monitoringMeasurement10.1016/j.measurement.2015.12.028101(250-256)Online publication date: Apr-2017
https://doi.org/10.1016/j.measurement.2015.12.028
Bell A(2017)Informing decisions in agent-based models A mobile updateEnvironmental Modelling & Software10.1016/j.envsoft.2017.03.02893:C(310-321)Online publication date: 1-Jul-2017
https://dl.acm.org/doi/10.1016/j.envsoft.2017.03.028
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