Category Archives: Ambient

Devices/software that measure the ambient environment such as light and temperature.

Green Goose (currently cycling lifelogger)

This company ( seems to aspire to do more about nudging you to a greener lifestyle, but at the moment the current devices attaches to spokes of your bike whith a wifi device you attach permanently to some network you regularly cycle near. The device automatically uploads your cycling stats whenever it is parked near the wifi device plugged into your network. Although limited in what it records, it is the most automatic of any of the lifelogging technologies I have looked at.

ViconRevue (formerly Microscoft SenseCam)

Formerly known as the Microsoft SenseCam, Microsoft licensed this to Vicon to sell commercially in 2010 as the Vicon Revue. At time of writing this device recorded VGA quality still images at irregular intervals based on an algorithm which responds to onboard sensor data from PIR, light, temperature and movement sensors. Both the history of the sensor data and the images are stored on the onboard flash drive. The device has a mini-USB interface which can be used to access the images on the flash drive as well as charge the built-in battery. The usual method for accessing the images is a highly manual process where the provided proprietary software running on a Windows PC and the device is plugged into the USB bus. The software is activated and it removes all the images and data from the device and copies them into a folder structure on the PC. The proprietary software may then be used to view the images by date/time and to play them for a given date as a kind of slide-show with a variable speed control.

Data Extraction

Although the provided software is slow, clunky, and only allows access to the image/timestamp data, researchers at Dublin City University’s CLARITY centre have released open source software SenseCam Browser software which can automatically segment the image data, allow labelling, and provide hooks for further research expansion.

Here is a sample of a reasonable good quality image from the device (although many images may appear much blurrier than this if the device is moving while the image is taken):