“Brain-computer interfaces (BCIs) can improve the quality of life and independence of people with motor disabilities, as they enable direct control of computer applications and robotic devices through brain activity. Research shows that the imagination of a movement (motor imagery) exhibits similar neurological characteristics to the actual execution of the movement. However, BCIs based on motor imagery are not implemented yet in everyday life; one of the main challenges in their implementation stems from the variability of the interface’s accuracy in predicting the desired movement: not all users manage to generate clear enough brain signals for the system to decipher their intent. This phenomenon affects 15-30% of users.
To make this technology more accessible and accurate in real-time applications, the research focuses on the factors that affect the performance of the interface, by using artificial intelligence and experimental parametric investigation.”
For more information about the researchers and other research topics:
https://braude-research.org/avishagp
https://braude-research.org/adhamsalih
Dr. Avishag Pelosi
Dr. Adham Salih