‘Eye Catcher’ Reads Audience Expressions, Triggers Face Animation
This project from the Interactive Architecture Lab is an expressive interface that utilizes emotion recognition algorithms
Eye Catcher is an expressive interface that combines industrial robotics and high power magnets with emotion recognition algorithms to read its audience and subsequently trigger the animation of a face. This installation uses technology to add emotion and context to a typically static object, surprising passersby with its movement and expressions.
The project’s principle researchers were Lin Zhang and Ran Xie from the Interactive Architecture Lab, with help from supervisors Ruairi Glynn, Dr Christopher Leung and William Bondin. The Interactive Architecture Lab is a multi-disciplinary research group and Masters Programme at the Bartlett School of Architecture at University College London.