AI RESEARCH
NeuroPath: Practically Adopting Motor Imagery Decoding through EEG Signals
arXiv CS.AI
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ArXi:2604.09654v1 Announce Type: cross Motor Imagery (MI) is an emerging Brain-Computer Interface (BCI) paradigm where a person imagines body movements without physical action. By decoding scalp-recorded electroencephalography (EEG) signals, BCIs establish direct communication to control external devices, offering significant potential in prosthetics, rehabilitation, and human-computer interaction. However, existing solutions remain difficult to deploy. (i) Most employ independent, opaque models for each MI task, lacking a unified architectural foundation.