NoiseTube: Measuring and mapping noise pollution with mobile phones

By Nicolas Maisonneuve, M. Stevens, M. Niessen, Luc Steels. Information Technologies in Environmental Engineering, 2009

442 citations recorded by the source corpus.

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A survey on privacy in mobile participatory sensing applications (2011, methodology): “In NoiseTube [30], Ear-Phone [9], and NoiseSpy [17], noise levels are used to monitor noise pollution, which can, e.”
Diagnosing New York city's noises with ubiquitous data (2014, background): “For example, NoiseTube [8] presents a person-centric approach that leverages noise measurements shared by mobile phone users to paint a noise map in a city [3][19].”
A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities (2019, background): “phone to measure the personal exposure of citizen to noise in everyday life [121].”
Mobile Phone Sensing Systems: A Survey (2013, background): “The evaluation results demonstrate that PriSense is very suitable and practical as a solution to privacypreserving data aggregation in people-centric urban sensing systems.”
Incentives for Mobile Crowd Sensing: A Survey (2016, methodology): “Pioneer sensing systems include NoiseTube [6] for noise monitoring, SignalGuru [7] and VTrack [8] for traffic monitoring, CityExplorer [9], SmartTrace [10], Sensorly [11] for 3G/WiFi discovery, and LiFS [12] and TrMCD [13] for indoor localization.”