Toward a Brain-Controlled Electric Wheelchair Based on Steady State Visual Evoked Potentials

Severe motor disabilities can significantly impact people's quality of life, impeding their mobility and independence in daily activities. While electric wheelchairs often provide a solution to enhance mobility, these are hard to control for people with these disabilities. In this context, EEG-based brain-computer interfaces (BCI) offer a promising avenue for controlling assistive devices. BCls allow users to interact with their environment by detecting and analyzing brain-generated electrical signals. This study focuses on designing and implementing a modular control system for an electric wheelchair with brain signals.