Two decades of AI-driven motion capture in rehabilitation: Mapping research networks, thematic hotspots, and future trajectories - Takeaways - MDSpire

Two decades of AI-driven motion capture in rehabilitation: Mapping research networks, thematic hotspots, and future trajectories

  • By

  • Xiaojing Huang

  • Jing Xu

  • Lingyan Chen

  • June 16, 2026

  • 0 min

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  • 1

    This study provides the first bibliometric overview of AI-driven motion capture in rehabilitation, highlighting its rapid expansion.

  • 2

    Research has shifted from basic neurophysiological studies to AI-integrated, real-time rehabilitation frameworks over the past two decades.

  • 3

    The United States is identified as a global research hub, while China shows accelerated output with regional collaboration patterns.

  • 4

    Identified research hotspots include EEG, brain-computer interfaces, and multimodal sensing, guiding future technology-driven rehabilitation.

  • 5

    The study employs VOSviewer and CiteSpace for systematic mapping of research output, collaboration networks, and thematic evolution.

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