3D Gait Tracking by Acoustic Doppler Effects

Ting Hui Chiang, Yi Juan Su, Huan Ruei Shiu, Yu Chee Tseng

研究成果: Conference contribution同行評審

摘要

Rehabilitation and physical therapies can recover people suffering from neurological disorder. Due to limited medical personnels, there are not enough medical personnels help patients with their posture diagnosis. In this paper, we propose a 3D gait tracking method to help medical personnels monitor patients. Based on acoustic signals, our approach derives displacement by only one integration of velocity. When one walks, his feet move back and forth, causing relative movements to our acoustic sensors, which we call self-Doppler effect. We utilize three buzzers and one microphone mounted on feet to collect the frequency shifts caused by relative movements and measure 3D trajectories. We validate through simulations that this approach would perform very well. In real experiments, due to the existence of noise and the limitation of hardware, we observe an average error of 0.1669 m in step length estimation and 0.0867 m in step height estimation.

原文English
主出版物標題42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society
主出版物子標題Enabling Innovative Technologies for Global Healthcare, EMBC 2020
發行者Institute of Electrical and Electronics Engineers Inc.
頁面3146-3149
頁數4
ISBN(電子)9781728119908
DOIs
出版狀態Published - 七月 2020
事件42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020 - Montreal, Canada
持續時間: 20 七月 202024 七月 2020

出版系列

名字Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
2020-July
ISSN(列印)1557-170X

Conference

Conference42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society, EMBC 2020
國家Canada
城市Montreal
期間20/07/2024/07/20

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