Learning to walk on new ground: Calibration-free decoding for c-VEP BCI

arXiv:2403.15521v1 Announce Type: cross
Abstract: This study explores two zero-training methods aimed at enhancing the usability of brain-computer interfaces (BCIs) by eliminating the need for a calibration session. We introduce a novel method rooted in the event-related potential (ERP) domain, unsupervised mean maximization (UMM), to the fast code-modulated visual evoked potential (c-VEP) stimulus protocol. We compare UMM to the state-of-the-art c-VEP zero-training method that uses canonical correlation analysis (CCA). The comparison includes instantaneous classification and classification with cumulative learning from …

abstract arxiv bci brain code computer cs.lg decoding domain eess.sp erp event free interfaces mean new ground novel session study training type unsupervised usability visual