NONAN GaitPrint: An IMU gait database of healthy older adults
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...
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Nature Portfolio
2025-01-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-04359-w |
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| author | Tyler M. Wiles Seung Kyeom Kim Madhur Mangalam Joel H. Sommerfeld Kolby J. Brink Alli Grunkemeyer Marilena Kalaitzi Manifrenti Anaelle E. Charles Narges Shakerian Mehrnoush Haghighatnejad Spyridon Mastorakis Nick Stergiou Aaron D. Likens |
| author_facet | Tyler M. Wiles Seung Kyeom Kim Madhur Mangalam Joel H. Sommerfeld Kolby J. Brink Alli Grunkemeyer Marilena Kalaitzi Manifrenti Anaelle E. Charles Narges Shakerian Mehrnoush Haghighatnejad Spyridon Mastorakis Nick Stergiou Aaron D. Likens |
| author_sort | Tyler M. Wiles |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-499759f443414560a57a0b25b6d46bee |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-499759f443414560a57a0b25b6d46bee2025-01-26T12:14:45ZengNature PortfolioScientific Data2052-44632025-01-0112111410.1038/s41597-024-04359-wNONAN GaitPrint: An IMU gait database of healthy older adultsTyler M. Wiles0Seung Kyeom Kim1Madhur Mangalam2Joel H. Sommerfeld3Kolby J. Brink4Alli Grunkemeyer5Marilena Kalaitzi Manifrenti6Anaelle E. Charles7Narges Shakerian8Mehrnoush Haghighatnejad9Spyridon Mastorakis10Nick Stergiou11Aaron D. Likens12Division of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at OmahaDivision of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at OmahaDivision of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at OmahaDivision of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at OmahaDivision of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at OmahaDivision of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at OmahaDivision of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at OmahaDivision of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at OmahaDivision of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at OmahaDivision of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at OmahaDepartment of Computer Science and Engineering, University of Notre DameDivision of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at OmahaDivision of Biomechanics and Research Development, Department of Biomechanics, and Center for Research in Human Movement Variability, University of Nebraska at OmahaAbstract 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.https://doi.org/10.1038/s41597-024-04359-w |
| spellingShingle | Tyler M. Wiles Seung Kyeom Kim Madhur Mangalam Joel H. Sommerfeld Kolby J. Brink Alli Grunkemeyer Marilena Kalaitzi Manifrenti Anaelle E. Charles Narges Shakerian Mehrnoush Haghighatnejad Spyridon Mastorakis Nick Stergiou Aaron D. Likens NONAN GaitPrint: An IMU gait database of healthy older adults Scientific Data |
| title | NONAN GaitPrint: An IMU gait database of healthy older adults |
| title_full | NONAN GaitPrint: An IMU gait database of healthy older adults |
| title_fullStr | NONAN GaitPrint: An IMU gait database of healthy older adults |
| title_full_unstemmed | NONAN GaitPrint: An IMU gait database of healthy older adults |
| title_short | NONAN GaitPrint: An IMU gait database of healthy older adults |
| title_sort | nonan gaitprint an imu gait database of healthy older adults |
| url | https://doi.org/10.1038/s41597-024-04359-w |
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