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"We extract heart rate and beat lengths from videos by measuring subtle head motion caused by the Newtonian reaction to the influx of blood at each beat. Our method tracks features on the head and performs principal component analysis (PCA) to decompose their trajectories into a set of component motions. It then chooses the component that best corresponds to heartbeats based on its temporal frequency spectrum. Finally, we analyze the motion projected to this component and identify peaks of the trajectories, which correspond to heartbeats. When evaluated on 18 subjects, our approach reported heart rates nearly identical to an electrocardiogram device. Additionally we were able to capture clinically relevant information about heart rate variability."

Recent Royal College of Art (RCA) design graduate David Hedberg's Smile TV is more than a loving homage to the good old 'campfire inside the living room.' Made from an open frame CRT monitor and equipped with a computer vision system, the unsuspecting television set turns the medium's engagement pattern on its head: instead of making you smile at on-screen silliness, you have to "smile to watch." Only when you do - and for as long as you do - will Smile TV reveal its otherwise scrambled broadcast. "This project grew out from experimenting with facial recognition and image manipulation," Hedberg explains over email.