Brain Waves Translation: Transforming Thoughts into Text.

Brain Waves Translation: Transforming Thoughts into Text.
  • September 30, 2024
  • 15

In this modern age, scientists are busy developing new things. In this context, scientists have created a new device, with the help of which the brain waves of paralyzed patients who cannot speak can be analyzed by the computer immediately.

It then can be translated into sentences on the screen. This mind reading machine is capable of tracking the activity of the mind. Experts say this device will restore the communication ability of stroke patients.

A similar system was presented in earlier research capable of decoding up to 50 words. The machine had a limited vocabulary and the user, who was a paraplegic, had to speak words out loud, which required more effort.

Edward Cheng of the University of California and his colleagues designed a machine capable of converting the brain's activity into letters, with the help of which an entire sentence comes out.

After building the machine, the researchers used it on paralyzed patients who had difficulty speaking. The investigators applied the thinking of previous research to a wider vocabulary by designing this system to decode the association of brain activity with letter sounds.

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After giving the same subjects fresh stories to listen to, the scientists assessed how effectively the decoders captured the story's text. In certain cases, the decoder accurately replicated words and phrases. The majority of the time, it created text that was roughly similar to the original yet still conveyed the main ideas.

For example, when the participant said, "I don't have my driver's license yet," the decoder interpreted participant brain activity as "she has not even started to learn to drive." Based on multiple metrics, the decoder predictions were significantly more accurate than one would anticipate from chance.

Currently, the technology is limited to use within the lab due to its reliance on fMRI, which is not portable. However, the technology might be modified to use more portable brain activity data, according to the researchers. This would enable practical application of it.

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