This article is produced by NetEase Smart Studio (public number smartman 163). Focus on AI and read the next big era! Netease smart news March 17 news latest research shows that men and women smile change is very different, which makes artificial intelligence (AI) can automatically distinguish gender based on smile. Although techniques for automatically recognizing gender have emerged before, the existing methods use still images and relatively fixed facial features. This new study conducted by Bradford University is the first time that a smiling dynamic motion image has been used to distinguish between men and women. Under the leadership of Prof. Hassan Ugail, the team painted 49 markers on the face, focusing mainly on the eyes, mouth, and nose. Smiles originate from the movements of the deep muscles of the face. The team uses these to evaluate changes in the face - including changes in the distance between different points and the "fluidity" of the smile: When the smile is formed, different parts of the face move How much, how far and how fast. Then they tested whether there were significant differences between men and women. It was found that women's smiles were more malleable. Professor Hassan Ugail, a principal researcher from Bradford University, said: "Interestingly, women are considered to be more adept at expressing their smiles, and our research has confirmed this. Women's smiles are brighter and their mouths and lips are wider than men's. Much bigger." Next, the research team used their analysis method to create an algorithm and tested 109 smiling videos. The results showed that computers accounted for 86% of the total number of cases that could accurately identify human gender. The research team believes that accuracy can also be improved. "We used a fairly simple machine classification for this study because we are only testing this concept and more sophisticated artificial intelligence will increase the recognition rate," Professor Ugail said. To a large extent, the potential purpose of this study is to try to enhance the ability of machine learning, but this also leads to many interesting issues that the team hopes to investigate in future projects. One is how the machine responds to the smile of a transgender, and the other is the effect of plastic surgery on the recognition rate. "Because this system measures the movement of deep facial muscles when smiling, we believe that even if external physical characteristics change, such as after surgery, these dynamics will remain unchanged," Professor Ugail said. "This facial recognition technology may become the next-generation biometric technology because it does not depend on a certain function, but on a unique dynamic feature, and it is difficult to imitate or change." This study was originally published in The Visual Computer magazine (International Journal of Computer Graphics). (From: sciencedaily Compilation: Netease Intelligence Engagement: nariiy) Pay attention to NetEase smart public number (smartman163), obtain the latest report of artificial intelligence industry. A good day usually starts when the sun rises, and bright light can improve our vision. The only exception is that due to excessive exposure to the sun, the screen will almost become insufficient due to reflections. Matte Hydrogel Screen Protector Sheet,Flexible Hydrogel Matte Screen Protector,Matte Hydrogel Screen Protector,Matte Anti-Glare Protective Film Shenzhen TUOLI Electronic Technology Co., Ltd. , https://www.szhydrogelprotector.com
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