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Updated: Feb 28, 2026

Design and Analysis for Fall Detection System Simplification
Published on: April 6, 2020
One-Legged Stand Test: Synchronized Motion Capture, Force Plate, and Radar Dataset for Fall-Risk
Daniel Copeland1, Xiang Zhang1, Evan Linton2
1Center for Clinical and Translational Research, MIT, Cambridge, MA, USA.
None:
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.

