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DOI 10.1109/jbhi.2026.3690720

Медицинская библиотека · IEEE journal of biomedical and health informatics · 2026

Movement Anywhere: An Open-Source Distributed 2D Video-Based Movement Analysis Platform Empowered by Active Learning.

Ho Ming-Yang, Tseng Yufeng Jane

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Аннотация

Movement analysis plays a pivotal role in diagnosing and monitoring neurodegenerative and musculoskeletal diseases. Traditional tools, such as 3D motion capture systems and electronic walkways, though effective, are costly and spatially demanding, limiting their accessibility. To address these challenges, we introduce Movement Anywhere, an open-source, distributed plat form for 2D video-based movement analysis. This plat form features advanced tracking algorithms that robustly handle scenarios where patients require assistance, and it rigorously establishes the conditions necessary for precise depth information extraction, crucial for accurate motion parameter estimation. Additionally, Movement Anywhere is adaptable to various 2D cameras and in corporates an active learning framework to streamline algorithm updates. Evaluated with datasets from multiple medical centers, our approach demonstrates substantial improvements over previous methods. Movement Anywhere provides a cost-effective, scalable, extensible, and user-friendly solution for effective disease monitoring and progression tracking. Movement Anywhere is accessible at https://movement-anywhere.cmdm.tw/, with source codes provided at https://github.com/ Kaminyou/Movement-Anywhere.

Для цитирования: Ho Ming-Yang, Tseng Yufeng Jane. Movement Anywhere: An Open-Source Distributed 2D Video-Based Movement Analysis Platform Empowered by Active Learning.. IEEE journal of biomedical and health informatics. 2026. DOI: 10.1109/jbhi.2026.3690720.
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