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This article talks about an image being able to detect exactly how other people are feeling, even when they are trying to hide their emotions. A new software ha sbeen develloped that improves accuracy in perciving the emotions of others. this new software, the Facial Action Coding Syste, has promising applications for variety of industries.

This technology can recognize emotions like the Leonardos da Vinci's renissance painting, Mona Lisa, she is 83 percent happy, 9 percent disgusted, 6 percent fearful, and 2 percent angry. The software is the latest innovation from Professor Thomas Huang and Professor Nicu Sebe. The process beings when the computer contructs a 3-D computer model

of the face, all 44 major muscles in the model must move like human muscles. Eckman has classified six basic emotions, happines, surprise, anger, disgust, fear, and sadness, and then associated each with characteristic movements of the facial muscles. The facial expressionsfor each empotion are universal. By weighting the different units, the softwere can even identify mixed emotions. In fact, we humans perform this same impressive calculation every day. For intance, you can problably tell how a friend is feeling simply by the look on her face. Of, course most of us woulld have trouble actually describing each facial tarit. While it shows just how much this computer that knows when you are happy or sad. For example, if you smile when a Web ad appears on your screen, a similar ad might follow. Acordinng to the Facial Feedback Theory of Emotion, moving your facial muscles not only expresses emotions,but also may even help produce them.

In conclusion I think that this new technology would be beneficient for the people because it would help to know better the people. Also to know about those muscular action units.

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