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    "headline": "Forty-Four Runners Became a Markerless Benchmark",
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    "dek": "VideoRun2D compared pose trackers against expert annotations across 314 sprints and reduced its best joint-angle errors with post-processing.",
    "summary": "VideoRun2D compared pose trackers against expert annotations across 314 sprints and reduced its best joint-angle errors with post-processing.",
    "body_text": "VideoRun2D evaluates hip and knee angle estimates from multiple human-pose trackers on 314 sprints by 44 professional runners. Expert manual annotations supply the comparison, and an outlier-processing module reduced the best reported root-mean-square errors from 11.46 to 9.87 degrees and from 5.83 to 5.30 degrees for the two target angles. The study supports biomechanical analysis from video, not medical diagnosis or replacement of laboratory measurement.",
    "why_it_matters": "VideoRun2D compared pose trackers against expert annotations across 314 sprints and reduced its best joint-angle errors with post-processing.",
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      "The study supports biomechanical analysis from video, not medical diagnosis or replacement of laboratory measurement."
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    "first_published_at": "2026-08-21T09:00:00.000-04:00",
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    "tags": [
      "human pose estimation",
      "running",
      "biomechanics"
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      "source_id": "source-2026-08-21-011",
      "title": "arXiv preprint 2608.19480",
      "publisher": "arXiv",
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      "published_at": "2026-08-18T20:00:00.000-04:00",
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    "title": "Forty-Four Runners Became a Markerless Benchmark",
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