NONAN GaitPrint: An IMU gait database of healthy young adults

Authors

Tyler M. Wiles, University of Nebraska at OmahaFollow
Madhur Mangalam, University of Nebraska at OmahaFollow
Joel H. Sommerfeld, University of Nebraska at OmahaFollow
Seung Kyeom Kim, University of Nebraska at OmahaFollow
Kolby J. Brink, University of Nebraska at OmahaFollow
Anaëlle Charles, University of Nebraska at OmahaFollow
Alli Grunkemeyer, University of Nebraska at OmahaFollow
Marilena Kalaitzi Manifrenti, University of Nebraska at OmahaFollow
Spyridon Mastorakis, University of Nebraska at OmahaFollow
Nicholas Stergiou, University of Nebraska at OmahaFollow
Aaron Likens, University of Nebraska at OmahaFollow

Author ORCID Identifier

Wiles - https://orcid.org/0000-0001-9915-6950

Mangalam - https://orcid.org/0000-0001-6369-0414

Brink - https://orcid.org/0000-0003-3255-7252

Manifrenti - https://orcid.org/0000-0001-5630-2305

Stergiou - https://orcid.org/0000-0002-9737-9939

Document Type

Article

Publication Date

12-5-2023

Abstract

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 containing 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; 18 men and 17 women; mean ± 1 s.d. age: 24.6 ± 2.7 years; height: 1.73 ± 0.78 m; body mass: 72.44 ± 15.04 kg) 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. We technically validate our data using continuous relative phase, Lyapunov exponent, and Hurst exponent—nonlinear metrics quantifying different aspects of healthy human gait.

Comments

This is an open access article published under Creative Commons Attribution license.

https://doi-org.leo.lib.unomaha.edu/10.1038/s41597-023-02704-z

DOI

https://doi-org.leo.lib.unomaha.edu/10.1038/s41597-023-02704-z

Journal Title

Scientific Data

Volume

10

Recommended Citation

Wiles, T.M., Mangalam, M., Sommerfeld, J.H. et al. NONAN GaitPrint: An IMU gait database of healthy young adults. Sci Data 10, 867 (2023). https://doi-org.leo.lib.unomaha.edu/10.1038/s41597-023-02704-z

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.