Recompose [openFrameworks]

Created by Anthony DeVincenzi, David Lakatos, Matthew Blackshaw, Daniel Leithinger and Hiroshi Ishii at the MIT Lab, Recompose is a system for manipulation of an actuated surface. By utilising openCV, Kinect (i believe) and gesture recognition the team is working on an array of 120 individually addressable pins, whose height can be actuated and read back simultaneously creating an ever transforming landscape responding to body behaviour.

Our system builds upon the Relief table, developed by Leithinger. The table consists of an array of 120 individually addressable pins, whose height can be actuated and read back simultaneously, thus allowing the user to utilize them as both input and output. Building upon this system, we have furthered the design by placing a depth camera above the tabletop surface. By gaining access to the depth information we are able to detect basic gestures from the user. In order to provide visual feedback related to user interaction, a projector is mounted above the table and calibrated to be coincident with the depth camera. Computer vision is utilized to determine and recognize the position, orientation, and height of hands and fingers, in order to detect gestural input.

Project Page