Vision & Robotics
Using EEG data of study participants watching clips of the 2012 presidential debates, researchers found atypical, or extremal gestures to be the strongest indication of listeners' engagement.
The same pixels used to capture images are used to convert light to energy, enabling the camera to run without an external power supply.
About
The group studies the computational foundations for visual and robotic intelligence. They investigate machines that are able to perceive their surroundings and interact with them too.
The group of ten faculty often collaborate across the sciences and the arts. They leverage insights from both nature and math to advance the fundamentals of perception and interaction, and they also transfer their research to tackle practical challenges across disciplines. Several of the faculty are cross-listed with the Data Science Institute.
Digital Video and Multimedia 
Robotics Laboratory 
Columbia Automated Vision Environment 
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