Participatory Sensing

MoVi

With MoVi the mobile phones collectively sense the surrounding ambiance to detect precursor signs (e.g., outburst of laughter, moves in the same directions) of relevant social events (e.g., speeches) and […]

EarPhone

EarPhone is a participatory noise mapping system that uses mobile phones to determine environmental noise levels (particularly roadside ambient noise).

Ikarus

Ikarus is a participatory sensing application for paraglider pilots. It collects information about thermal columns, which are used by pilots to gain in altitude during their flights. Ikarus is based […]

PollutionSpy

PollutionSpy application aims to monitor air pollution in traffic by using mobile phones to create a “pollution map” of Cambridge, England. It also promotes social networking in a local community through the provision […]

Haze Watch

Haze Watch mobile phones were interfaced to external pollution sensors, in order to measure the concentration of carbon monoxide, ozone, sulphur dioxide, and nitrogen dioxide concentration in the air.

PetrolWatch

PetrolWatch facilitate price comparisons of fuel at different locations. Instead of manually reporting the prices, the participants use their mobile phones to take pictures of the displayed prices.

SkiScape

SkiScape sensing at the Dartmouth Skiway. With this deployment we aim to demonstrate that a large-scale recreational sensor network is possible and useful. In the rest of the paper we present […]

Jog Falls

Jog Falls project which is based on the combination of body-area sensors (acceleration and heart rate) with a simple interface for entering calorie intake. Both functionalities are integrated within a […]

Biketastic

Biketastic documents the bicycling experiences of the participants. It concentrates on the road conditions, including the roughness of the road and the noise level along the road captured by on-board accelerometers […]

BikeNet

BikeNet is a mobile sensing system for mapping the cyclist experience. Built leveraging the MetroSense architecture to provide insight into the real-world challenges of people-centric sensing, BikeNet uses a number of sensors embedded […]