By analyzing the movement of the smile across a person’s face, the software developed by researchers
英语试题 08-15
By analyzing the movement of the smile across a person’s face, the software developed by researchers at the University of Bradford can determine whether or not the expression is true. The most significant movements detected by the software were around the eyes, supporting popular theories that a true smile is one that can be seen in a person’s eyes.
“A smile is perhaps the most common of facial expressions and is a powerful way of signaling positive emotions,” says Hassan Ugail, Professor of Visual Computing at the University of Bradford, who led the research. “Techniques for analyzing human facial expressions have advanced a lot in recent years, but distinguishing between true and false smiles remains a challenge because humans are not good at picking up the relevant messages.”
The software works by first mapping a person’s face from within a video recording, and identifying the mouth, cheeks and eyes of the subject. It then measures how they move through the progress of the smile and calculates the differences in movement between the video pieces showing true and false smiles. They found significant differences in the way the subjects’ mouths and cheeks moved when comparing the true and the false expressions. The movements around the subjects’ eyes, however, showed the most striking difference, with true smiles producing at least 10 percent more movement in these muscles.
“We use two main sets of muscles when we smile — the zygomaticus major（颧大肌）, which is responsible for the movements upwards of the mouth, and the orbicularis oculi（眼轮匝肌）, which causes movements around our eyes,” explains Professor Ugail. In false smiles it is often only the mouth muscles that move but, as humans, we often don’t spot the lack of movement around the eyes.
He adds, “An objective way of analyzing whether or not a smile is true could help us develop improved interactions between computers and humans. It could also be important to scientists aiming to gain more understanding into human behavior and emotion.”
28. Why is it hard for humans to recognize a false smile?
A. Humans are good at hiding their smiles.
B. The relevant details are hard to catch for our eyes.
C. Humans often put on too many facial expressions.
D. Techniques for analyzing facial expressions are hard to develop.
29. What do the researchers find by the software?
A. People usually use two main sets of muscles when smiling.
B. True smiles produce more muscle movement around eyes.
C. Mouths and cheeks move the same for true and false smiles.
D. True smiles are a powerful way of signaling positive emotions.
30. What can we infer from Professor Hassan Ugail?
A. There are different sets of muscles on every human’s face.
B. The software can improve humans’ behavior and emotion.
C. Humans can spot the movement around the eyes in true smiles.
D. The interactions between computers and humans remain to be improved.
31. What is the best title for the text?
A. Eyes Can Smile.
B. Smiles Can Show One’s Personality.
C. More Smiles, Longer lives.
D. True Smiles, False Movements.
答案28-31 BBDA
“A smile is perhaps the most common of facial expressions and is a powerful way of signaling positive emotions,” says Hassan Ugail, Professor of Visual Computing at the University of Bradford, who led the research. “Techniques for analyzing human facial expressions have advanced a lot in recent years, but distinguishing between true and false smiles remains a challenge because humans are not good at picking up the relevant messages.”
The software works by first mapping a person’s face from within a video recording, and identifying the mouth, cheeks and eyes of the subject. It then measures how they move through the progress of the smile and calculates the differences in movement between the video pieces showing true and false smiles. They found significant differences in the way the subjects’ mouths and cheeks moved when comparing the true and the false expressions. The movements around the subjects’ eyes, however, showed the most striking difference, with true smiles producing at least 10 percent more movement in these muscles.
“We use two main sets of muscles when we smile — the zygomaticus major（颧大肌）, which is responsible for the movements upwards of the mouth, and the orbicularis oculi（眼轮匝肌）, which causes movements around our eyes,” explains Professor Ugail. In false smiles it is often only the mouth muscles that move but, as humans, we often don’t spot the lack of movement around the eyes.
He adds, “An objective way of analyzing whether or not a smile is true could help us develop improved interactions between computers and humans. It could also be important to scientists aiming to gain more understanding into human behavior and emotion.”
28. Why is it hard for humans to recognize a false smile?
A. Humans are good at hiding their smiles.
B. The relevant details are hard to catch for our eyes.
C. Humans often put on too many facial expressions.
D. Techniques for analyzing facial expressions are hard to develop.
29. What do the researchers find by the software?
A. People usually use two main sets of muscles when smiling.
B. True smiles produce more muscle movement around eyes.
C. Mouths and cheeks move the same for true and false smiles.
D. True smiles are a powerful way of signaling positive emotions.
30. What can we infer from Professor Hassan Ugail?
A. There are different sets of muscles on every human’s face.
B. The software can improve humans’ behavior and emotion.
C. Humans can spot the movement around the eyes in true smiles.
D. The interactions between computers and humans remain to be improved.
31. What is the best title for the text?
A. Eyes Can Smile.
B. Smiles Can Show One’s Personality.
C. More Smiles, Longer lives.
D. True Smiles, False Movements.
答案28-31 BBDA
苏19057182-3号