Multimodal Synchronized Motion Capture, Force Plate, and Radar Dataset of the One-Legged Stand Test for Fall-Risk Assessment

Read full text
Authors: Daniel Copeland, Evan Linton, Xiang Zhang, Hector Lugaro, Buntoku Mori, Brian Anthony
Cited by: 1

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" participants aged 32 or younger, and 17 "old" participants aged 64 or older) performing the One-Legged Stand Test (OLST), a clinically validated fall risk assessment. The defining events of each of the 1,241 OLST attempts (foot-lift, start-of-stability, end-of-stability, and foot-touchdown) were labeled across data types using synchronized motion capture and force plate recordings. The dataset supports research in biomechanics, digital biomarker development, radar signal processing, and fall risk characterization. Basic MATLAB and Python utilities are provided for data loading, visualization, and event alignment.

Publication details

Journal / source
PhysioNet
Publication date
18 January 2026
Document type
Dataset