Questões de Concurso
Sobre interpretação de texto | reading comprehension em inglês
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Computer that reads body language
Researchers at Carnegie Mellon University’s Robotics Institute have enabled a computer to understand body poses and movements of multiple people from video in real time – including, for the first time, the pose of each individual’s hands and fingers.
Carnegie Mellon University researchers have developed methods to detect the body pose, including facial expressions and hand positions, of multiple individuals.
This enables computers to not only identify parts of the body, but to understand how they are moving and positioned. This new method was developed with the help of the Panoptic Studio, a two-story dome embedded with 500 video cameras. The insights gained from experiments in that facility now make it possible to detect the pose of a group of people using a single camera and a laptop computer.
Yaser Sheikh, associate professor of robotics, said these methods for tracking 2-D human form and motion open up new ways for people and machines to interact with each other, and for people to use machines to better understand the world around them. The ability to recognize hand poses, for instance, will make it possible for people to interact with computers in new and more natural ways, such as communicating with computers simply by pointing at things.
Detecting the nuances of nonverbal communication between individuals will allow robots to serve in social spaces, allowing robots to perceive what people around them are doing, what moods they are in and whether they can be interrupted. A self-driving car could get an early warning that a pedestrian is about to step into the street by monitoring body language. In sports analytics, real-time pose detection will make it possible for computers not only to track the position of each player on the field of play, as is now the case, but to also know what players are doing with their arms, legs and heads at each point in time. The methods can be used for live events or applied to existing videos.
“The Panoptic Studio supercharges our research”, Sheikh said. It now is being used to improve body, face and hand detectors by jointly training them. Also, as work progresses to move from the 2-D models of humans to 3-D models, the facility’s ability to automatically generate annotated images will be crucial.
When the Panoptic Studio was built a decade ago with support from the National Science Foundation, it was not clear what impact it would have, Sheikh said.
“Now, we’re able to break through a number of technical barriers primarily as a result of a grant 10 years ago”, he added. “We’re sharing the code, but we’re also sharing all the data captured in the Panoptic Studio”.
(Disponível:<https://www.sciencedaily.com/releases/2017/07/170706143158.htm>
A respeito do Panoptic Studio, local que serviu de apoio para o projeto, considere as seguintes afirmativas:
1. Recebeu uma doação para esse projeto há dez anos.
2. Tem dois andares.
3. Apresenta arquitetura com uma superfície arredondada.
Assinale a alternativa correta.
Computer that reads body language
Researchers at Carnegie Mellon University’s Robotics Institute have enabled a computer to understand body poses and movements of multiple people from video in real time – including, for the first time, the pose of each individual’s hands and fingers.
Carnegie Mellon University researchers have developed methods to detect the body pose, including facial expressions and hand positions, of multiple individuals. This enables computers to not only identify parts of the body, but to understand how they are moving and positioned.
This new method was developed with the help of the Panoptic Studio, a two-story dome embedded with 500 video cameras. The insights gained from experiments in that facility now make it possible to detect the pose of a group of people using a single camera and a laptop computer.
Yaser Sheikh, associate professor of robotics, said these methods for tracking 2-D human form and motion open up new ways for people and machines to interact with each other, and for people to use machines to better understand the world around them. The ability to recognize hand poses, for instance, will make it possible for people to interact with computers in new and more natural ways, such as communicating with computers simply by pointing at things.
Detecting the nuances of nonverbal communication between individuals will allow robots to serve in social spaces, allowing robots to perceive what people around them are doing, what moods they are in and whether they can be interrupted. A self-driving car could get an early warning that a pedestrian is about to step into the street by monitoring body language. In sports analytics, real-time pose detection will make it possible for computers not only to track the position of each player on the field of play, as is now the case, but to also know what players are doing with their arms, legs and heads at each point in time. The methods can be used for live events or applied to existing videos.
“The Panoptic Studio supercharges our research”, Sheikh said. It now is being used to improve body, face and hand detectors by jointly training them. Also, as work progresses to move from the 2-D models of humans to 3-D models, the facility’s ability to automatically generate annotated images will be crucial.
When the Panoptic Studio was built a decade ago with support from the National Science Foundation, it was not clear what impact it would have, Sheikh said.
“Now, we’re able to break through a number of technical barriers primarily as a result of a grant 10 years ago”, he added. “We’re sharing the code, but we’re also sharing all the data captured in the Panoptic Studio”.
(Disponível: <https://www.sciencedaily.com/releases/2017/07/170706143158.htm>
Computer that reads body language
Researchers at Carnegie Mellon University’s Robotics Institute have enabled a computer to understand body poses and movements of multiple people from video in real time – including, for the first time, the pose of each individual’s hands and fingers.
Carnegie Mellon University researchers have developed methods to detect the body pose, including facial expressions and hand positions, of multiple individuals. This enables computers to not only identify parts of the body, but to understand how they are moving and positioned.
This new method was developed with the help of the Panoptic Studio, a two-story dome embedded with 500 video cameras. The insights gained from experiments in that facility now make it possible to detect the pose of a group of people using a single camera and a laptop computer.
Yaser Sheikh, associate professor of robotics, said these methods for tracking 2-D human form and motion open up new ways for people and machines to interact with each other, and for people to use machines to better understand the world around them. The ability to recognize hand poses, for instance, will make it possible for people to interact with computers in new and more natural ways, such as communicating with computers simply by pointing at things.
Detecting the nuances of nonverbal communication between individuals will allow robots to serve in social spaces, allowing robots to perceive what people around them are doing, what moods they are in and whether they can be interrupted. A self-driving car could get an early warning that a pedestrian is about to step into the street by monitoring body language. In sports analytics, real-time pose detection will make it possible for computers not only to track the position of each player on the field of play, as is now the case, but to also know what players are doing with their arms, legs and heads at each point in time. The methods can be used for live events or applied to existing videos.
“The Panoptic Studio supercharges our research”, Sheikh said. It now is being used to improve body, face and hand detectors by jointly training them. Also, as work progresses to move from the 2-D models of humans to 3-D models, the facility’s ability to automatically generate annotated images will be crucial.
When the Panoptic Studio was built a decade ago with support from the National Science Foundation, it was not clear what impact it would have, Sheikh said.
“Now, we’re able to break through a number of technical barriers primarily as a result of a grant 10 years ago”, he added. “We’re sharing the code, but we’re also sharing all the data captured in the Panoptic Studio”.
(Disponível: <https://www.sciencedaily.com/releases/2017/07/170706143158.htm>
Com base no texto, considere as seguintes informações:
1. O nome da instituição que desenvolveu a pesquisa.
2. O local onde está situado o estúdio Panoptic.
3. O número de pessoas que serviram como cobaias no experimento.
4. A época em que o estúdio foi construído.
5. A dificuldade de serem encontrados modelos humanos para interagir com computadores.
O texto apresenta as informações contidas nos itens:
Considering the grammatical and semantic aspects of text V, decide whether the following items are right (C) or wrong (E).
The word “enjoined” (l.27) cannot be replaced by endorsed
in this particular context.
Considering the grammatical and semantic aspects of text V, decide whether the following items are right (C) or wrong (E).
The word “contingent” (l.34) is synonymous with necessary.
Considering the grammatical and semantic aspects of text V, decide whether the following items are right (C) or wrong (E).
The text asserts that facts should be judged to be the sole
standard against which to define beliefs.
Considering the grammatical and semantic aspects of text V, decide whether the following items are right (C) or wrong (E).
The expression ““on a par” (l. 20 and 21) means competing.
Considering the grammatical and semantic aspects of text IV, decide whether the following items are right (C) or wrong (E).
The expression “hold their tongue with” (l.54 and 55) could be replaced by uphold their dialect against without altering the meaning of the sentence.
Considering the grammatical and semantic aspects of text IV, decide whether the following items are right (C) or wrong (E).
The adjective “compelling” (l.25) could be replaced by
thorough in this particular context.
Considering the grammatical and semantic aspects of text IV, decide whether the following items are right (C) or wrong (E).
The word “assimilated” (l.52) could be correctly replaced by blended, without altering the meaning of the passage.
In text IV, without altering the general meaning of the sentence, “pinpoint” (l.10) could be replaced by (mark right — C — or wrong — E)
convey.
In text IV, without altering the general meaning of the sentence, “pinpoint” (l.10) could be replaced by (mark right — C — or wrong — E)
compare.
In text IV, without altering the general meaning of the sentence, “pinpoint” (l.10) could be replaced by (mark right — C — or wrong — E)
determine.
In text IV, without altering the general meaning of the sentence,
“pinpoint” (l.10) could be replaced by (mark right — C —
or wrong — E)
ascertain.
Decide whether the following statements are right (C) or wrong (E) according to text IV.
The author asserts that the early dialect of colonial Americans
was not influenced and shaped by large waves of immigrants
from many origins.
Decide whether the following statements are right (C) or wrong (E) according to text IV.
The author criticizes Krapp’s argument that exemplars
of transplanted languages or dialects such as Acadian French
are more archaic than the original ones, which continued
evolving in their home countries.
Decide whether the following statements are right (C) or wrong (E) according to text IV.
It can be said from the text that to British ears, contemporary
American accents belie declining grammar standards in
America as compared to Colonial times.
Decide whether the following statements are right (C) or wrong (E) according to text IV.
According to the text, the fact that social origin was not as
easy to identify based on the koine of eighteenth-century
Americans as was the case with contemporary Britons reflected
the early American colonies’ egalitarian ethos.
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