Concurrent Two-Factor Identity Verification uses a neural network framework to better understand how an action performed again and again can vary each time. It has users registering themselves performing a specific and easily repeatable facial motion, no longer than a couple of seconds, along with their unique face. It could be anything from making a funny face, to silently reading a secret phrase that causes the lips to make distinct movements in the process. The system was able to correctly identify facial movements with over 90% accuracy, which the researchers hope to further improve.”]
Source: https://gizmodo.com/how-making-a-funny-face-could-boost-the-security-of-fac-1846502530