InSight team's wearable glass system identifies people by clothes
Sunday, March 10, 2013 - 11:30
in Mathematics & Economics
(Phys.org) —Researchers from the University of South Carolina and Duke are proposing a "visual fingerprint" app that can be used with smartphones and wearable camera displays such as Google Glass. Their paper, "Recognizing Humans without Face Recognition," explored techniques that can jointly leverage camera-enabled glasses, an offering that is still in the wings, and phones, to pick out any individual based on what the person is wearing. The team behind the InSight project developed and tested a prototype system that can pick out people by their clothes and other accessories. Once identified, the person's name would be displayed on the headset.