Mobile Built-In

Virtual Trip Lines

The concept of Virtual Trip Lines targets to replace these conventional monitoring solutions by smartphones mounted within vehicles. Instead of deploying costly monitoring infrastructure, the locations of street segments of […]

Nericell

In Nericell the embedded accelerometer, microphone, and positioning system are used to detect and localize traffic conditions and road conditions, e.g., potholes, bumps, or braking and honking (which are both implicit […]

MetroTrack

MetroTrack is a system capable of tracking mobile events using off-the-shelf mobile phones. While the proof-of-concept prototype implementation of MetroTrack focused on tracking a mobile audio source, we believe that […]

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).

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.

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 […]