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NoiseTube: Measuring and mapping noise pollution with mobile phones

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Conference object , Other literature type 01 Jan 2009Publisher:Springer Berlin Heidelberg
Authors: Maisonneuve, Nicolas; Stevens, Matthias; Niessen, Maria E.; Steels, Luc;

doi: 10.1007/978-3-540-88351-7_16

handle: 10261/127894 , 11370/aaf221ff-0c4a-416e-9658-70797b7341aa

NoiseTube: Measuring and mapping noise pollution with mobile phones

Abstract

In this paper we present a new approach for the assessment of noise pollution involving the general public. The goal of this project is to turn GPS-equipped mobile phones into noise sensors that enable citizens to measure their personal exposure to noise in their everyday environment. Thus each user can contribute by sharing their geo-localised measurements and further personal annotation to produce a collective noise map.

This work was partially supported by the EU under contract IST-34721 (TAGora). The TAGora project is funded by the Future and Emerging Technologies program (IST-FET) of the European Commission. Matthias Stevens is a research assistant of the Fund for Scientific Research, Flanders (Aspirant van het Fonds Wetenschappelijk Onderzoek - Vlaanderen).

Trabajo presentado al 4th International ICSC Symposium, celebrado en Thessaloniki (Grecia) del 28 al 29 de mayo de 2009.

Peer reviewed

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Keywords

people-centric sensing, tagging, Citizen science, participatory sensing, Geo-localisation, Tagging, geo-localisation, Noise pollution, Participatory sensing, citizen science, Mobile phones, People-centric sensing, mobile phones

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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331
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48
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