This device can understand the 'words in your head'
Subjects used the wearable device and reported that they were able to predict the opponents’ next move
Arnav Kapur, a researcher in the Fluid Interfaces group at the MIT Media Lab, demonstrates the AlterEgo project. PHOTO: MIT
CAMBRIDGE, MASSACHUSETTS, US:
MIT researchers have developed a device that essentially can pick up on words a user verbalises internally but doesn't say out loud.
In an announcement last week, the MIT media lab stated that the researchers have created the "AlterEgo" device which is able to detect nonverbal prompts in your mind.
Electrodes in the device detect neuromuscular signs that happen in the jaw and face but not readable by another human.
“Our idea was: Could we have a computing platform that’s more internal, melds human and machine in some ways and feels like an internal extension of our own cognition?,” says Arnav Kapur, creator of AlterEgo and a graduate student at the MIT Media Lab.
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The device also includes bone-conduction headphones that transmit vibrations from the bones of the face to the ear. The headphones help transfer information to the user without the need for a verbal conversation.
In one of the experiments, subjects used the wearable device and reported that they were able to predict the opponents’ next move in a chess game.
“My students and I have for a very long time been experimenting with new form factors and new types of experience that enable people to still benefit from all the wonderful knowledge and services that these devices give us, but do it in a way that lets them remain in the present,” said Pattie Maes, a professor of media arts and sciences and Kapur’s thesis advisor.
Initially, during the experimental phase, researchers had to figure out the exact locations on the face that would generate the most reliable neuromuscular signals.
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To do so, they asked 10 subjects “to subvocalize the same series of words four times,” while using 16 electrodes at different locations on the face to generate the signals. They then created a code using the results and found that seven particular places on the face can be used to recognise the nonverbal prompts.
Researchers are hoping such innovations are helpful to help persons with disabilities along with its application in high-noise environments like on the flight deck of an aircraft carrier.
https://www.youtube.com/watch?v=RuUSc53Xpeg
MIT researchers have developed a device that essentially can pick up on words a user verbalises internally but doesn't say out loud.
In an announcement last week, the MIT media lab stated that the researchers have created the "AlterEgo" device which is able to detect nonverbal prompts in your mind.
Electrodes in the device detect neuromuscular signs that happen in the jaw and face but not readable by another human.
“Our idea was: Could we have a computing platform that’s more internal, melds human and machine in some ways and feels like an internal extension of our own cognition?,” says Arnav Kapur, creator of AlterEgo and a graduate student at the MIT Media Lab.
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The device also includes bone-conduction headphones that transmit vibrations from the bones of the face to the ear. The headphones help transfer information to the user without the need for a verbal conversation.
In one of the experiments, subjects used the wearable device and reported that they were able to predict the opponents’ next move in a chess game.
“My students and I have for a very long time been experimenting with new form factors and new types of experience that enable people to still benefit from all the wonderful knowledge and services that these devices give us, but do it in a way that lets them remain in the present,” said Pattie Maes, a professor of media arts and sciences and Kapur’s thesis advisor.
Initially, during the experimental phase, researchers had to figure out the exact locations on the face that would generate the most reliable neuromuscular signals.
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To do so, they asked 10 subjects “to subvocalize the same series of words four times,” while using 16 electrodes at different locations on the face to generate the signals. They then created a code using the results and found that seven particular places on the face can be used to recognise the nonverbal prompts.
Researchers are hoping such innovations are helpful to help persons with disabilities along with its application in high-noise environments like on the flight deck of an aircraft carrier.
https://www.youtube.com/watch?v=RuUSc53Xpeg