Decoding of continuous movement attempt in 2-dimensions from non-invasive low frequency brain signals

Decoding intended movements from individuals with spinal cord injury (SCI) has been a central topic in braincomputer interface research for decades. Recent works, relying on neural spiking activity, demonstrated that the kinematics of intended movements can be detected in neural spiking activity and used by individuals with SCI to control end-effectors. Whether, and to which degree this approach translates to EEG remains an open question. In this work, we summarize our attempts towards realizing an EEG-based movement decoder. We summarize our efforts to address this topic from various perspectives, and we present results of a single case study with a non-disabled participant, where we decoded the intended movement trajectories, while the participant's arm was fixed.