Deepfake videos can be detected by measuring the blood circulation of the person speaking, research suggests.
A deepfake is a video where artificial intelligence and deep learning – an algorithmic learning method used to train computers – has been used to make a person appear to say something they have not.
Notable examples include a manipulated video of Richard Nixon’s Apollo 11 presidential address and Barack Obama insulting Donald Trump.
These edited videos can be extremely difficult to detect, but researchers have suggested that examining how blood moves around the face could indicate what is real and what is fake, since deepfakes cannot replicate it with high enough fidelity.
“Biological signals hidden in portrait videos can be used as an implicit descriptor of authenticity, because they are neither spatially nor temporally preserved in fake content,” the research, published in IEEE Transactions on Pattern Analysis and Machine