This study utilizes Brain-Computer Interface (BCI) technology to enhance attention, memory, and manage drowsiness caused by fatigue. It integrates Beta-to-(Alpha+Theta) Ratio (BATR) and Frontal Midline Theta (FM-theta) neurofeedback with eye tracking to stimulate brain activity associated with cognitive performance. A gamified platform provides real-time EEG feedback, while advanced neural networks analyze and classify mental states to facilitate effective cognitive enhancement.
Deep Learning; Computer Vision; Biomedical Signal Processing; Real time EEG data processing; Neurofeedback; Memory enhancement.
