{
  "annotation_id": "b14b186e-b907-4e3d-9f64-0e7d7527b189",
  "date_created": "2026-03-02T18:01:11.468000Z",
  "date_modified": "2026-03-02T18:01:11.468000Z",
  "file_hash": "c019a85121a7a3026f4ee0c11a3be90580d76901739da1136f03fff1c3765025",
  "private": false,
  "record": {
    "abstract": "In this paper, the diffusion entropy technique is applied to investigate the\nscaling behavior of stride interval fluctuations of human gait. The scaling\nbehavior of the stride interval of human walking at normal, slow and fast rate\nare similar; with the scale-invariance exponents in the interval\n$[0.663,0.955]$, of which the mean value is $0.821\\pm0.011$. Dynamical analysis\nof these stride interval fluctuations reveals a self-similar pattern:\nFluctuation at one time scale are statistically similar to those at multiple\nother time scales, at least over hundreds of steps, while the healthy subjects\nwalk at their normal rate. The long-range correlations are observed during the\nspontaneous walking after the removal of the trend in the time series with\nFourier filter. These findings uncover that the fractal dynamics of stride\ninterval of human gait are normally intrinsic to the locomotor systems.",
    "arxiv_id": "physics/0608207",
    "authors": [
      "Shi-Min Cai",
      "Pei-Ling Zhou",
      "Hui-Jie Yang",
      "Tao Zhou",
      "Bing-Hong Wang",
      "Fang-Cui Zhao"
    ],
    "categories": [
      "physics.bio-ph",
      "physics.data-an"
    ],
    "doi": "10.1016/j.physa.2006.10.027",
    "journal_ref": "Physica A 375, 687-692(2007)",
    "title": "Diffusion entropy analysis on the stride interval fluctuation of human   gait",
    "url": "https://arxiv.org/abs/physics/0608207"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "883220b0-0d4d-445b-8d5f-d0be85d378de",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}