ArticleScientific data2025
NONAN GaitPrint: An IMU gait database of healthy older adults.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Body mass index has consistent effects on the magnitude of gait variability while its effect on the temporal structure of gait variability is age-dependent.European journal of applied physiology · 2026Article
- Hurst-Kolmogorov Process is a More Reliable and Statistically Powerful Alternative to Detrended Fluctuation Analysis for Estimating Hurst in Short Walking Trials.Annals of biomedical engineering · 2026Article
- Rethinking the Defaults: Exploring Sample Entropy Parameters for Human Movement Data.Annals of biomedical engineering · 2026Article
- Six-minute walk test instrumented with a single inertial sensor: dataset from healthy adults of different ages.Scientific data · 2026Article
- NONAN GaitPrint: An IMU gait database of healthy middle-aged adults.Scientific data · 2025Article
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Authors and funding
13 authors.
Funding
Abstract
The continued effort to study gait kinematics and the increased interest in identifying individuals based on their gait patterns could be strengthened by the inclusion of data from older groups. To address this need and complement our previous database on healthy young adults, we present an addition to the Nonlinear Analysis Core (NONAN) GaitPrint database. We offer full-body inertial measurement data during self-paced overground walking on a 200 m indoor track of 41 older adults (56 + years old; 20 men and 21 women; age: 64.7 ± 7.5 years; height: 1.7 ± 0.1 m; body mass: 81.1 ± 17.8 kg) across 18 four-minute trials conducted over two days. The multiple recordings are supported by a range of pre-calculated spatiotemporal variables, a list of each subject's anthropometrics, notes for each walking trial, and template scripts for easier application of our data to classroom assignments or laboratory research. In addition, a preliminary Bayesian analysis found a range of evidence supporting age-related gait changes between this database and our database on young adults.
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Registered trials
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