One-Legged Stand Test: Synchronized Motion Capture, Force Plate, and Radar Dataset for Fall-Risk

We present synchronized motion capture, force plate, and processed 24 GHz Frequency-Modulated Continuous Wave (FMCW) radar recordings from 32 healthy participants (15 "young" ≤32y, 17 "old" ≥64y), performing the One-Legged Stand Test (OLST), a clinically validated fall-risk assessment. Each trial includes labeled events marking foot-lift, start-of-stability, end-of-stability, and foot-touchdown, derived from motion capture and dual ground reaction force plate recordings. The dataset supports research in biomechanics, digital biomarker development, radar signal processing, and fall risk characterization. Basic Python utilities are provided for data loading, visualization, and event alignment.

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Publication Details

Journal
Scientific Data
Published
2026-02-25
DOI
https://doi.org/10.1038/s41597-026-06831-1
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
0.00
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article

One-Legged Stand Test: Synchronized Motion Capture, Force Plate, and Radar Dataset for Fall-Risk

Evan Linton, Hector Lugaro, Buntoku Mori, Daniel Copeland et al.
Scientific Data
Balance, Gait, and Falls Prevention
article

One-Legged Stand Test: Synchronized Motion Capture, Force Plate, and Radar Dataset for Fall-Risk

Evan Linton, Hector Lugaro, Buntoku Mori, Daniel Copeland, Xiang Zhang, Brian W. Anthony
article en

Abstract

We present synchronized motion capture, force plate, and processed 24 GHz Frequency-Modulated Continuous Wave (FMCW) radar recordings from 32 healthy participants (15 "young" ≤32y, 17 "old" ≥64y), performing the One-Legged Stand Test (OLST), a clinically validated fall-risk assessment. Each trial includes labeled events marking foot-lift, start-of-stability, end-of-stability, and foot-touchdown, derived from motion capture and dual ground reaction force plate recordings. The dataset supports research in biomechanics, digital biomarker development, radar signal processing, and fall risk characterization. Basic Python utilities are provided for data loading, visualization, and event alignment.

Scientific Data
IIT@MIT (US)
Openalex Percentile: Top 48%
Balance, Gait, and Falls Prevention
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