Yinxuan Li

An EEG Conformer Model for Error Feedback During Human-Robot Interaction

Identifying a brain signal that enables the detection of incorrect execution in human-robot interaction (HRI) is considered a holy grail for real-time systems. A major challenge in achieving this is the inherent imbalance caused by the sparsity of error-related potential (ErrP) events in streaming e