内容正文:
冲刺2021年高考英语二轮复习 阅读理解
第六模块:社会文化类
Passage 1.(2021•焦作二模)
When music comes on, some people are toe﹣lappers or head﹣bobbers, others shake their hips,and then there are those who let the rhythm move them to a full﹣body boogie (布吉舞). But, whatever it is, the way we dance to a beat is so noticeable to an individual that a computer can now identify us by our unique dancing "fingerprint".
VResearchers at the Centre for Interdisciplinary Music Research at Finland's University of Jyv skyl have been using motion capture(动作捕捉) technology to study what a person 's dance moves say about his or her mood, personality, and ability to sympathize. They recently made an accidental discovery while trying to see if an ML machine, a form of artificial intelligence, would be able to identify which kind of music was playing based on how the participants of the study were dancing. In their study, the researchers motion captured 73 participants with the AI technology while they danced to eight different music genres; electronica, jazz, metal, pop, rap, reggae, country, and blues. The only instruction the dancers were given was to move in a way that felt natural.
But what it could do was more shocking. The computer was able to correctly identify which music one of the participants was dancing to 94 percent of the time, regardless of what kind of music was playing, based on the pattern of a person's dance style. It was the movement of participants' heads, shoulders and knees that were important markers in distinguishing between individual. "It seems as though a person's dance movements a kind of fingerprint. Each person has a unique movement signature that stays the same no matter what kind of music is playing," said Pasi Saari, a co﹣author of the study, in a class.
It's possible that dance﹣recognition software could become something similar to face﹣recognition software it doesn't seem as practical. For now, researchers say that they are not as interested in possible surveillance (