Decoding binocular color differences via EEG signals: linking ERP dynamics to chromatic disparity in CIELAB space.
Unlock the secrets of binocular color perception! This study decodes the brain's response to subtle color differences, paving the way for innovative color-based brain-computer interfaces.
This research explores how the brain processes binocular color differences, as measured through EEG signals. By analyzing Event-Related Potentials (ERPs), the study found a significant decrease in the P300 component as color differences increased. Four machine learning models were employed to decode the EEG data, achieving up to 81.93% accuracy in binary classification and 54.47% in a four-class categorization. These findings offer groundbreaking insights into the neural mechanisms of visual perception and lay the foundation for developing advanced color-based brain-computer interfaces, with potential applications in fields like assistive technology, entertainment, and beyond.