Brain-computer interfaces (BCIs) have been developed to aid paralyzed individuals in communicating by translating neural signals into words. A study by Stanford's Erin Kunz revealed that BCIs monitor the brain's motor cortex, enabling effective decoding of intended speech and even imagined speech. The research demonstrated significant overlap between these types of speech, leading to a decoding accuracy of 74% from a 125,000-word vocabulary. While aiding communication, the technology raises privacy concerns about revealing thoughts that were never intended to be shared.
Erin Kunz of Stanford University indicates that brain-computer interfaces (BCIs) can restore speech for paralyzed individuals by decoding signals from the brain's motor cortex, revealing intended speech.
The research showed that significant overlap exists between intended and imagined speech, allowing developers to decode words and sentences from a person's imagination with up to 74% accuracy.
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