MIT Researcher Develops Interface Which Transcribes words you Don’t speak:- Massachusetts Institute of Technology researcher of Indian Origin Arnav Kapur has developed a computer interface that can transcribe words. This computer interface triggers internal verbalization which detects neuromuscular signals. Even if the user verbalizes internally and does not actually speak aloud. The device electrodes sit on the face and jaw find the word.
Mainly, the system consists of a wearable device with an computing system attached to it. The neuromuscular signals that are caught by the device are sent to a machine-learning system which directly correlates related to particular signals with particular words which was feeded earlier in the machine.
The device also includes bone-conduction headphones, which directly send vibrations through the muscle and bones of the face to the inner part of the ear.
The headphones directly send information to the user without disturbing or interfering with the user’s voice. This means you don’t need speak words for the system to transcribe things.
This device is part of a ‘complete silent-computing system’, which lets the user easily and smoothly pose and receive answers to difficult computational problems.
Arnav Kapur said to the MIT news: “The motivation for this was to build an IA device — an intelligence-augmentation device” He further added “Our idea was: Could we have a computing platform that’s more internal, that melds human and machine in some ways and that feels like an internal extension of our own cognition?”
This device was described in a paper presented at the Association for Computing Machinery’s ACM Intelligent User Interface conference.
Arnav Kapur is first author on the paper, Maes is the senior author, and they’re joined by Shreyas Kapur, an undergraduate major in electrical engineering and computer science.
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