Dual-Radar Sensing for Automated Clinical Mobility Assessment: Toward Contact-Free Evaluation of the 10-Meter Walking Test

Paper in proceeding, 2026

Contactless gait measurement is desirable in many application scenarios, especially in clinical settings. Millimeterwave radar has demonstrated great potential for quantitative gait measurement, but it faces challenges in achieving accurate measurement over long distances due to complex multipath propagation effects. In this work, we present a novel dual-radar approach for reliable long-distance gait measurement, aiming to automate the 10-meter walking test for parkinson's disease assessment. A robust signal processing pipeline was developed to preprocess, fuse, and analyze radar data, enhancing measurement quality. This approach was validated in a simulated real-life environment at two different walking speeds, achieving a relative error reduction exceeding 20% in step time estimation compared with a single-radar-based approach, and the improvement was statistically significant (p<0.01).