Although automatic gender recognition is already available, existing methods use static images and compare fixed facial features. The new research, by the University of Bradford, is the first to use the dynamic movement of the smile to automatically distinguish between men and women. Led by Professor Hassan Ugail, the team mapped 49 landmarks on the face, mainly around the eyes, mouth and down the nose. They used these to assess how the face changes as we smile caused by the underlying muscle movements -- including both changes in distances between the different points and the'flow' of the smile: how much, how far and how fast the different points on the face moved as the smile was formed. They then tested whether there were noticeable differences between men and women -- and found that there were, with women's smiles being more expansive.

New artificial intelligence can predict your sex based on your smile. Researchers at England's University of Bradford developed the AI after noticing marked differences between males' and females' smiles. They hope to study the ways in which cosmetic procedures affect these differences as well as how the research applies to transgender people in the future. Their study was published in The Visual Computer: International Journal of Computer Graphics. New research from the University of Bradford in England gave way to artificial intelligence that can predict a person's sex based on a video of them smiling.

Each year, over a million missing persons cases are reported in the US and UK, leaving families desperately searching for their loved ones. In the hope of boosting this search, researchers have developed a new and more accurate method of ageing facial images. They have tested their new software on an image of Ben Needham, who went missing when he was a toddler in 1991 on the Greek island of Kos. The resulting images are vastly different to the computer generated images of Ben as an adult produced by current face-ageing current software. This, they say, suggests that existing technology isn't up to the task.