In the study, participants read passages of text while wearing a helmet that recorded the brain's electrical activity through the scalp. The EEG recordings were then converted into text using an AI model called DeWave.
Chin-Teng Lin from the University of Technology Sydney (UTS), Australia, said the technology is non-invasive, relatively inexpensive and easily portable. In addition, he said the system is currently about 40 percent accurate, but will soon be more than 60 percent accurate.
Last year, a group led by Jerry Tang at the University of Texas at Austin reported similar accuracy in converting thoughts into text, but used MRI scans to interpret brain activity. Using EEG is more practical because subjects don't have to lie motionless in the scanner.
Last year, a group led by Jerry Tang at the University of Texas at Austin reported similar accuracy in converting thoughts into text, but used MRI scans to interpret brain activity. Using EEG is more practical because subjects don't have to lie motionless in the scanner.