Automatic Control of a Wheelchair Using a Brain Computer Interface and Real-Time Decision-Making

In this study, we simulate the automatic control of an electric wheelchair for indoor Pac-Man-style navigation using solely thought commands. We delve into the decision-making mechanisms of an operational EEG-based brain computer interface that employs a visual oddball paradigm. We investigate strategies to enhance the efficiency of decision-making processes, aiming to accelerate response times while maintaining a defined error rate. Furthermore, we explore methodologies to decrease the user's cognitive load by reducing the number of stimuli needed before an action.