RFID-based Real-Time Geriatric Gait Speed Monitoring System: Design, Implementation and Clinical Evaluation
Natong Lin, Jiachen Wang, Lisa C. Barry, Song Han

TL;DR
This paper introduces a passive, RFID-based gait speed monitoring system that enables real-time, privacy-preserving assessments in clinical settings, demonstrating high accuracy and robustness across multiple sites.
Contribution
The authors designed and deployed a battery-free RFID system for gait speed measurement, improving privacy and maintenance over camera and wearable solutions.
Findings
Achieved 87.7% measurement success rate in clinical trials.
Mean absolute error of 0.064 m/s compared to stopwatch timing.
System operates reliably across three clinical sites.
Abstract
Gait speed is a widely used indicator of functional health and mobility decline, yet in clinical practice it is commonly measured manually using a stopwatch, which limits scalability and measurement frequency. Privacy-preserving and maintenance-free sensing approaches can enable more routine and less burdensome assessments in real-world care settings. This paper presents the design, implementation, and real-world deployment of a fully passive, battery-free gait-speed monitoring system based on ultra-high-frequency (UHF) RFID. Compared with camera- and wearable-based approaches, the proposed system preserves patient privacy by avoiding video capture and biometric data, while eliminating battery maintenance. The system employs a dual-antenna configuration and an edge-based peak-detection algorithm to estimate gait speed in real time from received signal strength indicator (RSSI) streams.…
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