Affect-driven Robot Behavior Learning System using EEG Signals for Less Negative Feelings and More Positive Outcomes
Byung Hyung Kim,Ji Ho Kwak,Minuk Kim,Sungho Jo,Byung Hyung Kim,Ji Ho Kwak,Minuk Kim,Sungho Jo
Learning from human feedback using event-related electroencephalography (EEG) signals has attracted extensive attention recently owing to their intuitive communication ability by decoding user intentions. However, this approach requires users to perform specified tasks and their success or failure. In addition, the amount of attention needed for decision-making increases with the task difficulty, ...
