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 "name": "sma-upper-limb-kinect",
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 "last_modified": "2026-08-09T08:38:08.000Z",
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 "citation": "- Study: Chen et al., *Feasibility of Using Microsoft Kinect to Assess Upper Limb Movement in Type III Spinal Muscular Atrophy Patients*, PLOS ONE (2017).\n- Article DOI: [10.1371/journal.pone.0170472](https://doi.org/10.1371/journal.pone.0170472)\n- Data supplement: [PLOS S3 dataset](https://doi.org/10.1371/journal.pone.0170472.s003)\n- Source code supplement: [PLOS S2 code](https://doi.org/10.1371/journal.pone.0170472.s002)\n\n> Chen X, Siebourg-Polster J, Wolf D, Czech C, Bonati U, Fischer D, Khwaja O, Strahm M. (2017). Feasibility of Using Microsoft Kinect to Assess Upper Limb Movement in Type III Spinal Muscular Atrophy Patients. *PLOS ONE*, 12(1), e0170472. https://doi.org/10.1371/journal.pone.0170472\n\nThe paper and supplements are distributed under CC BY 4.0. Redistribution requires credit to the original authors and source. When using a supplement, cite the paper and the corresponding supplement DOI; when using the derived files, also identify this Hugging Face repository version.\n\nThe four files under `mirror/` are redistributed unmodified, and their checksums in `MANIFEST.csv` match the published supplements. The tables under `data/` **are** modified: they are derived from supplement S3 by `scripts/build_dataset.py`, which joins logs to the skeleton stream, applies the exclusions listed above, and drops the clinical table and fine-grained demographics.",
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