NONAN GaitPrint is a full-body inertial gait database from the University of Nebraska Omaha Nonlinear Analysis Core. Sixteen Noraxon Ultium Motion IMUs sampled at 200 Hz record head, trunk, arms, forearms, hands, legs and feet. Participants walk at their own pace on a 200 m indoor looping track, doing 18 four-minute trials over two days. There are three releases with an identical protocol: 35 young adults (19–35), 50 middle-aged adults (36–55) and 41 older adults (56+), 126 people in total. Each release comes with pre-computed spatiotemporal gait variables and anthropometrics.
An ongoing thrust of research focused on human gait pertains to identifying individuals based on gait patterns. However, no existing gait database supports modeling efforts to assess gait patterns unique to individuals. Hence, we introduce the Nonlinear Analysis Core (NONAN) GaitPrint database that provides whole body kinematics and foot placement during self-paced overground walking on a 200-meter looping indoor track. Noraxon Ultium MotionTM inertial measurement unit (IMU) sensors sampled the motion of 35 healthy young adults (19–35 years old) over 18 4-min trials across two days. Continuous variables include acceleration, velocity, position, and the acceleration, velocity, position, orientation, and rotational velocity of each corresponding body segment, and the angle of each respective joint. The discrete variables include an exhaustive set of gait parameters derived from the spatiotemporal dynamics of foot placement. Long time series and multiple recordings (n = 18) for each subject will aid the modeling efforts to assess gait patterns unique to individuals.
Verbatim fromDataCite· Licence: https://creativecommons.org/licenses/by/4.0/legalcode
#84 of 158 most-used datasets by published papers and models · #36 of 70 IMU
NONAN GaitPrint [Data set]. (n.d.). figshare. https://doi.org/10.6084/m9.figshare.c.6415061
@misc{nonangaitprintnonan,
title = {{NONAN GaitPrint}},
howpublished = {figshare},
doi = {10.6084/m9.figshare.c.6415061}
}Cite the dated snapshot 2026-10 for a fixed, reproducible version. Please also cite the original publications listed above.
ChatPPG. (2026). NONAN GaitPrint: dataset record (Version 2026-10) [Data set]. ChatPPG Research Hub. https://chatppg.com/research/datasets/nonan-gaitprint
@misc{chatppg_dataset_nonan_gaitprint,
author = {{ChatPPG}},
title = {{NONAN GaitPrint: dataset record}},
year = {2026},
month = nov,
version = {2026-10},
howpublished = {\url{https://chatppg.com/research/datasets/nonan-gaitprint}},
note = {ChatPPG Research Hub, Snapshot 2026-10, https://chatppg.com/research/snapshots/2026-10}
}cff-version: 1.2.0 message: "If you use this resource, please cite it as below." type: dataset title: "NONAN GaitPrint: dataset record" authors: - name: "ChatPPG" url: "https://chatppg.com/research/datasets/nonan-gaitprint" repository-artifact: "https://chatppg.com/research/snapshots/2026-10" version: "2026-10" date-released: "2026-11-10"
Record updated
GaitFM: A Cross-Modal Foundation Model for Wearable Gait Assessment (Cai & Hong; arXiv 2611.01684)Uses NONAN GaitPrintarXiv 2611.01684v1 · 2026
LTMMSame task: Activity recognitionLong Term Movement Monitoring Database (3-day lower-back accelerometer + gyro, 71 older adults, fallers vs non-fallers; PhysioNet, ODC-By 1.0)71 subjects · IMU
CAPTURE-24Same task: Activity recognition151 subjects · IMU
COVID Lockdown Gear Sport (longitudinal wearable + EMA)Same task: Activity recognitionPPG · IMU