The SPINNER project from the Responsive Environments Group at MIT Media Lab is the first research platform designed to investigate the world of ubiquitous video devices. The Spinner can automatically edit video to fit a narrative structure. It uses video from cameras installed at the Media Lab and sensor data from people generated by wearable smart badges to track their activity and location. The system then creates a video using the characteristics detected from the sensor data with the video captured by the cameras.[1]
Mathew Laibowitz is the principal visionary and architect of this project.[2][3]