Preprint
Aug 2026
EEG2MOTION: Towards Open-Vocabulary Human Motion Synthesis from Non-invasive Brain Signals
This work proposes EEG-conditioned Masked Motion Model (EMMM), a generative framework that unites an EEG encoder with a motion decoder to synthesize continuous, full-body human motions directly from brain activity, opening a new direction toward generative and open-vocabulary motor BCIs.
Yulong Peng, Yijian Pan, Yuqi Yang et al.
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