EEGForceFusion: Joint Tokenised-Continuous Representation Learning for Subject-Independent Grasp Force Decoding
A hybrid EEG decoding framework that jointly models continuous and tokenised representations, enabling capture of both fine-grained neural structure and long-range temporal dependencies for real-time EEG-based force decoding in assistive robotics, neuro-rehabilitation, and human-machine interaction is proposed.