Researchers from Stanford University have developed a new brain-computer interface (BCI) that decodes inner speech, providing an easier communication method for individuals with speech-inhibiting conditions like ALS. Previous BCIs required users to exert considerable effort to vocalize, leading to fatigue. Instead, the new technology translates users' thoughts directly into spoken words, thereby bypassing the physical challenges of speaking. This innovation could significantly enhance the quality of life for those unable to vocalize by allowing them longer usage of the BCI without excessive strain.
If we could decode that, then that could bypass the physical effort. It would be less tiring, so they could use the system for longer.
The idea of translating inner speech stemmed from care for subjects of BCI experiments, many of whom have diseases like amyotrophic lateral sclerosis (ALS).
Researchers from Stanford University claimed that they have found a way to decode the "inner speech" of those who can no longer vocalize.
Generally speaking, BCIs for people with ALS require them to attempt to speak and let a computer do the rest of the work.
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