New Brain-Computer Interface Developed to Enable Communication for Paralysed Patients
This new machine learning-based system translates paralysis patients' brainwaves into a virtual character, simultaneously bringing both speech and movement signals into the digital environment.
In a new study conducted at the University of California and funded by the NIH, a machine learning-based brain-computer interface was developed that converts the brain signals of three paralyzed patients into a virtual avatar.
Details and Operating Principle of the Research
Scientists succeeded in simultaneously transferring brain signals related to body movements and speech into a digital virtual character via special cables connected to the patients.
A New Communication Pathway for ALS Patients
The virtual character created through this newly developed interface allows ALS patients, in particular, to communicate much faster and more effectively.
A Dual Achievement Realized for the First Time
While previous devices achieved separate successes in transmitting speech or body movements, this new system holds the distinction of being the first technology to achieve success in both areas simultaneously.
Future Goals and Wireless System
Following these successful results, researchers are continuing their work on a fully wireless version of the developed technology.
Promising Evaluations from Experts
NIH Director Dr. Debara Tucci stated that these promising results offer great hope that severely paralyzed patients may regain the holistic nature of their communication in the future.