Researchers from MIT's Center for Clinical and Translational Research (CCTR) and Institute for Medical Engineering and Science (IMES) have published three companion works advancing the use of non-contact radar technology for fall risk assessment in older adults. The research centers on the One-Legged Stand Test (OLST) — a clinically validated balance assessment in which shorter hold times are linked to elevated fall risk and increased mortality — and explores whether a 24 GHz frequency-modulated continuous wave (FMCW) radar sensor can capture the same biomechanical information as traditional laboratory equipment, without requiring wearables or physical contact. In a study published in Gait & Posture, the team demonstrated that radar-derived signals can detect and characterize OLST performance in both younger and older healthy adults, validated against gold-standard motion capture and force plate measurements. To support reproducibility and accelerate the field, the researchers simultaneously released a fully open, synchronized multimodal dataset — described in a data descriptor published in Nature Scientific Data and publicly hosted on PhysioNet — comprising over 1,200 labeled OLST attempts from 32 participants across two age cohorts, complete with motion capture trajectories, ground reaction force recordings, and processed radar data. Together, these publications represent a significant step toward enabling unobtrusive, in-home fall risk monitoring for aging populations. Publishing 1 Publishing 2 Publishing 3