Black technology: Research says artificial intelligence can distinguish human gender based on smile

Research says artificial intelligence can distinguish human gender based on smile

New research shows that artificial intelligence can distinguish women from men based on their smiles. This is because a woman's smile is wider than a man's smile. This discovery enabled researchers to create an artificial intelligence algorithm that quickly identifies gender. Professor Hassan Ugail, who is in charge of the study, said: Interestingly, women think their smiles are more expressive.

New research shows that artificial intelligence can distinguish women from men based on their smiles. This is because a woman's smile is wider than a man's smile. This discovery enabled researchers to create an artificial intelligence algorithm that quickly identifies gender. Professor Hassan Ugail, who is in charge of the study, said: “Interestingly, women think their smiles are more expressive, and our research has confirmed this. Women have a wider smile and the area of ​​the lips is much larger than male".

This method looks at the movement of the face while smiling, instead of using a still image. It is considered the first job in the field. It works by tracking the movement of 49 points on the face. These "landmarks" are mainly close to the eyes, mouth and nose. The team analyzed 109 people, including 69 women and 40 men.

This system can measure the muscle movement of the face during a smile. This facial recognition technology can be the next generation of biometric technology because it does not depend on a certain feature, but is based on the unique dynamic characteristics of the individual. Imitation or change. The team believes that there is room for improvement in the current algorithm success rate, because at present they are only testing this concept, and later more complex AI will improve the recognition rate.

However, this study raises 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 interaction”.