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Men’s and women’s smiles are measurably different, and can be used to identify gender. Researchers at the University of Bradford used artificial intelligence (AI) to analyze the dynamic movement of 109 participant smiles, determining gender with 86% accuracy. The testing done was relatively simple. Accuracy can improved. The team would like to see how AI responds to the smile of a transgender person, or a smile altered by cosmetic surgery.
The team led by Professor Hassan Ugail used artificial intelligence to study dynamic movement instead of static images. They measured 49 points around the face, nose and eyes, as well as muscle movement during the smile — how much, how far, how fast. As might be expected, women tend to smile more broadly then men.
The emphasis of the research was more about machine learning capability, but researchers believe the dynamic smile of an individual may be unique enough to one day become a next-generation biometric identifier.
Is your smile male or female? Mapping the dynamics of a smile to enable gender recognition.
Published by the University of Bradford, Mar., 14, 2018. Retrieved Mar. 27, 2018, Science Daily.
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