AI artificial intelligence is a hot topic nowadays. A recent new study shows that artificial intelligence can distinguish women from men based on their smiles. The reason is that a woman's smile is wider than a man's smile.
Professor Hassan Ugail from the University of Bradford, UK, said: “Interestingly, women are considered to be better at expressing their smiles, and our research has confirmed this. Women’s smiles are more brilliant, and the area of ​​mouth and lips is expanding. It is much bigger than men."
Next, the team used their analysis to create an algorithm that tested 109 smiling videos, including 69 women and 40 men. The results show that computers can accurately identify 86% of human cases.
The research team believes that accuracy can be improved. “We used a fairly simple machine classification for this study, because we are only testing this concept, and more complex artificial intelligence will increase the recognition rate,†Professor Ugail said.
The study raised questions about gender identity and transgender people, and the team hopes to solve this problem through more research. The team noted that gender cognition plays an important role in “face recognition, age, ethnicity, identity analysis, video surveillance and intelligent human-computer interactionâ€.
Recent research shows that the changes in smiles between men and women are very different, which allows artificial intelligence (AI) to automatically distinguish gender based on smiles.
Although techniques for automatically identifying gender have appeared before, existing methods use static images and compare fixed facial features. The new study by Bradford University is the first to use a dynamic dynamic motion image to distinguish between male and female research.
Under the leadership of Professor Hassan Ugail, the team mapped 49 markers on the face, mainly around the eyes, mouth and nose. The smile stems from the movement of the deep muscles of the face. The team used these to assess changes in the face – including the change in distance between the different points and the “liquidity†of the smile: when the smile formed, the different parts of the face moved. How much, how far and how fast.
Then they tested whether there was a significant difference between men and women. It turns out that women's smiles are more malleable.
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