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arXiv Machine Learning By Shantanu Sarkar, Saurabh Prasad, Jose L. Contreras-Vidal

A 2-Block Architecture for Real-Time EEG Gait Decoding: A Pilot Study

Read the original on arXiv Machine Learning →

arXiv:2608. 02083v1 Announce Type: new Abstract: Closed-loop lower-limb exoskeleton control via Electroencephalography (EEG) remains limited by motion artifacts, low signal-to-noise ratio, and binary gait formulations that fail to capture full cortical gait complexity.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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