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… (More)
In this paper we present a new approach to monitor noise pollution involving citizens and built upon the notions of participatory sensing and citizen science. We enable citizens to measure their personal exposure to noise in their everyday environment by using GPS-equipped mobile phones as noise sensors. The geo-localised measures and user-generated… (More)
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… (More)
Participatory sensing enables a person-centric collection of environmental measurement data with, in principle, high granularity in space and time. In this paper we provide concrete proof that participatory techniques, when implemented properly, can achieve the same accuracy as standard noise mapping techniques. We do this through a citizen science… (More)
—Participatory sensing is a crowd-sourcing technique which relies both on active contribution of citizens and on their location and mobility patterns. As such, it is particularly vulnerable to privacy concerns, which may seriously hamper the large-scale adoption of participatory sensing applications. In this paper, we present a privacy-preserving system… (More)
This paper presents a privacy-preserving system for participatory sensing, which relies on cryptographic techniques and distributed computations in the cloud. Each individual user is represented by a personal software agent, deployed in the cloud, where it collaborates on distributed computations without loss of privacy, including with respect to the cloud… (More)
This paper describes a project initiated by non-literate indigenous people to equip their own "citizen scientists" with rugged smartphones running adapted software that enable them to share some of their detailed environmental knowledge in ways that improve the sustainable management of their forest. Supporting local people to share their environmental… (More)
With this poster we announce the imminent release of <i>Sapelli</i>, a new mobile data collection and sharing platform designed with a particular focus on non-literate and illiterate users.
In this " Instructable " paper you will learn how you can use your GPS-equipped mobile phone as a mobile station to measure your personal exposure to noise and participate to the collective noise mapping of your neighbourhood or city. The maps can be visualized using Google Earth.