In this paper we present the design, implementation, evaluation, and user experiences of the NoiseSpy application, our sound sensing system that turns the mobile phone into a low-cost data logger for monitoring environmental noise. It allows users to explore a city area while collaboratively visualizing noise levels in real-time. The software combines the sound levels with GPS data in order to generate a map of sound levels that were encountered during a journey. We report early findings from the trials which have been carried out by cycling couriers who were given Nokia mobile phones equipped with the NoiseSpy software to collect noise data around Cambridge city. Indications are that, not only is the functionality of this personal environmental sensing tool engaging for users, but aspects such as personalization of data, contextual information, and reflection upon both the data and its collection, are important factors in obtaining and retaining their interest.

@article{kanjo2010noisespy, author = {Kanjo, Eiman}, title = {NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and Mapping}, journal = {Mobile Networks and Applications}, publisher = {Kluwer Academic Publishers}, address = {Hingham, MA, USA}, year = {2010}, volume = {15}, number = {4}, pages = {562--574}, url = {http://dx.doi.org/10.1007/s11036-009-0217-y}, doi = {10.1007/s11036-009-0217-y}, issn = {1383-469X}, keywords = {collective, intelligence, mobile, monitor, noise, noisespy, phone, pollution, real-time, sensing, social, stair, urban}, abstract = {In this paper we present the design, implementation, evaluation, and user experiences of the NoiseSpy application, our sound sensing system that turns the mobile phone into a low-cost data logger for monitoring environmental noise. It allows users to explore a city area while collaboratively visualizing noise levels in real-time. The software combines the sound levels with GPS data in order to generate a map of sound levels that were encountered during a journey. We report early findings from the trials which have been carried out by cycling couriers who were given Nokia mobile phones equipped with the NoiseSpy software to collect noise data around Cambridge city. Indications are that, not only is the functionality of this personal environmental sensing tool engaging for users, but aspects such as personalization of data, contextual information, and reflection upon both the data and its collection, are important factors in obtaining and retaining their interest.} }

%0 = article %A = Kanjo, Eiman %C = Hingham, MA, USA %D = 2010 %I = Kluwer Academic Publishers %T = NoiseSPY: A Real-Time Mobile Phone Platform for Urban Noise Monitoring and Mapping %U = http://dx.doi.org/10.1007/s11036-009-0217-y

Noise pollution is a major problem in cities around the world. The current methods to assess it neglect to represent the real exposure experienced by the citizens themselves, and therefore could lead to wrong conclusions and a biased representations. In this paper we present a novel approach to monitor noise pollution involving the general public. Using their mobile phones as noise sensors, we provide a low cost solution for the citizens to measure their personal exposure to noise in their everyday environment and participate in the creation of collective noise maps by sharing their geo-localized and annotated measurements with the community. Our prototype, called NoiseTube, can be found online [1].

@article{maisonneuve2010participatory, author = {Maisonneuve, Nicolas and Stevens, Matthias and Ochab, Bartek}, title = {Participatory noise pollution monitoring using mobile phones}, journal = {Information Polity}, publisher = {IOS Press}, year = {2010}, volume = {15}, number = {1}, pages = {51--71}, url = {http://dx.doi.org/10.3233/IP-2010-0200}, doi = {10.3233/IP-2010-0200}, keywords = {collective, intelligence, mobile, monitor, noise, participation, phone, pollution, sensing, social, stair}, abstract = {Noise pollution is a major problem in cities around the world. The current methods to assess it neglect to represent the real exposure experienced by the citizens themselves, and therefore could lead to wrong conclusions and a biased representations. In this paper we present a novel approach to monitor noise pollution involving the general public. Using their mobile phones as noise sensors, we provide a low cost solution for the citizens to measure their personal exposure to noise in their everyday environment and participate in the creation of collective noise maps by sharing their geo-localized and annotated measurements with the community. Our prototype, called NoiseTube, can be found online [1].} }

%0 = article %A = Maisonneuve, Nicolas and Stevens, Matthias and Ochab, Bartek %D = 2010 %I = IOS Press %T = Participatory noise pollution monitoring using mobile phones %U = http://dx.doi.org/10.3233/IP-2010-0200

@inproceedings{ka98tempest, author = {Kuhn, Markus G. and Anderson, Ross J.}, title = {Soft Tempest: Hidden Data Transmission Using Electromagnetic Emanations}, editor = {Aucsmith, David}, booktitle = {Information Hiding}, series = {LNCS}, publisher = {Springer}, address = {Berlin Heidelberg}, year = {1998}, volume = {1525}, pages = {124--142}, url = {http://www.cl.cam.ac.uk/~mgk25/ih98-tempest.pdf}, keywords = {transmission, tempest, monitor} }

%0 = inproceedings %A = Kuhn, Markus G. and Anderson, Ross J. %B = Information Hiding %C = Berlin Heidelberg %D = 1998 %I = Springer %T = Soft Tempest: Hidden Data Transmission Using Electromagnetic Emanations %U = http://www.cl.cam.ac.uk/~mgk25/ih98-tempest.pdf