New Technology Developed to Transfer Brain Signals of Paralyzed Patients to Virtual Characters
Within the scope of the research, brain signals of three paralyzed patients were simultaneously converted into digital virtual characters with the help of a machine learning interface.
In a new study supported by the U.S. National Institutes of Health, brain signals of paralyzed patients were transferred to virtual characters using a machine learning interface. This development aims to accelerate the communication process for individuals who have lost their mobility and speech capabilities.
Background of the Research
The U.S. National Institutes of Health shared the results of the research conducted at the University of California and supported by the institution with the public. The study aims to facilitate communication for paralyzed patients.
Working Mechanism of the System
Brain signals obtained from three paralyzed patients were converted into virtual characters through a special interface utilizing machine learning technology. The signals acquired via cables connected to the patients' brains are analyzed.
Contribution to the Communication Process
It is stated that the new technology can accelerate the communication process, especially in diseases such as ALS where mobility and speech abilities can be severely lost. The system supports speech and movements simultaneously.
Future Studies and Goals
Scientists are continuing their work on a wireless version of the system to make the technology more usable. NIH Director Dr. Debara Tucci stated that the results are promising.