Microphone

SurroundSense

SurroundSense a mobile phone based system that explores logical localization via ambience fingerprinting.

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).

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 […]

SenSay

SenSay is a context-aware mobile phone that adapts to dynamically changing environmental and physiological states. In addition to manipulating ringer volume, vibration, and phone alerts, SenSay can provide remote callers with the ability to […]

DietSense

DietSense assists participants who want to lose weight by documenting their dietary choices through images and sound samples. The mobile phones are worn on necklaces and automatically take images of […]

UbiFit Garden

UbiFit Garden uses on-body sensing, activity inference, and a novel personal, mobile display to encourage physical activity.