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This study provides the first bibliometric overview of AI-driven motion capture in rehabilitation, highlighting its rapid expansion.
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Research has shifted from basic neurophysiological studies to AI-integrated, real-time rehabilitation frameworks over the past two decades.
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The United States is identified as a global research hub, while China shows accelerated output with regional collaboration patterns.
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Identified research hotspots include EEG, brain-computer interfaces, and multimodal sensing, guiding future technology-driven rehabilitation.
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The study employs VOSviewer and CiteSpace for systematic mapping of research output, collaboration networks, and thematic evolution.