Binghamton University researchers have developed a biometric identification method called Cognitive Event-RElated Biometric REcognition (CEREBRE) for identifying an individual’s unique “brainprint.” They recorded the brain activity of 50 subjects wearing an electroencephalograph (EEG) headset while looking at selected images from a set of 500 images.
The researchers found that participants’ brains reacted uniquely to each image — enough so that a computer system that analyzed the different reactions was able to identify each volunteer’s “brainprint” with 100 percent accuracy.
In their original brainprint study in 2015, published in Neurocomputing (see ‘Brainprints’ could replace passwords), the research team was able to identify one person out of a group of 32 by that person’s responses, with 97 percent accuracy. That study only used words. Switching to images made a huge difference.