Gait pattern analysis of older adults via radar micro-Doppler signatures and wrist-worn accelerometer data

Fauzia Ahmad; Zahra Sadeghi Adl; Cole Hagen; Shivayogi Hiremath; Astrid Uhl; Lisa Ferretti; Philip McCallion

doi:10.1117/12.3014024

7 June 2024 Gait pattern analysis of older adults via radar micro-Doppler signatures and wrist-worn accelerometer data

Fauzia Ahmad, Zahra Sadeghi Adl, Cole Hagen, Shivayogi Hiremath, Astrid Uhl, Lisa Ferretti, Philip McCallion

Proceedings Volume 13048, Radar Sensor Technology XXVIII; 130480P (2024) https://doi.org/10.1117/12.3014024
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

In this paper, we report the results of a radar and accelerometer based pilot observational study of gait patterns of elderly participants enrolled in an exercise program aimed at improving strength, balance, and agility. We employ a radar system and a wearable accelerometer device to capture biomechanical movements of the participants as they walk back and forth in front of a radar. We extract gait parameters by analyzing the Doppler signatures obtained from the radar measurements and time-series data from the accelerometer device worn on the wrist while walking. Additionally, we record physical activity levels of participants over a two-week period using the wrist-worn accelerometer device and determine duration of moderate-to-vigorous physical activity (MVPA). The gait parameters and MVPA duration, extracted from two separate sets of measurements made prior to and at the conclusion of the exercise program, are used to assess potential changes in the gait and mobility of the participants. Using percentage change in parameter values as a metric, the results generally demonstrate a positive impact of the exercise program on gait and physical activity levels. At the same time, an appreciable categorical agreement is observed between the two sensing modalities.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fauzia Ahmad, Zahra Sadeghi Adl, Cole Hagen, Shivayogi Hiremath, Astrid Uhl, Lisa Ferretti, and Philip McCallion "Gait pattern analysis of older adults via radar micro-Doppler signatures and wrist-worn accelerometer data", Proc. SPIE 13048, Radar Sensor Technology XXVIII, 130480P (7 June 2024); https://doi.org/10.1117/12.3014024

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