Human-Centered Gait Balance Estimation Using Footstep-Induced Floor Vibrations

Gait balance is a critical indicator of neurological and neuromuscular conditions, such as stroke and Parkinson's disease. Estimating multiple balance features (e.g., the left/right pressure balance in the forefoot, rearfoot, and entire foot) often provides clinicians with insights that facilitate more strategic and personalized treatment plans. Existing approaches that primarily rely on pressure mats, wearable devices, camera-based systems, or direct clinical observation often impose constraints on user experience, such as discomfort, the need for active participation, and potential privacy issues. In contrast, recent advances have demonstrated that floor vibrations captured by geophone sensors can effectively reflect gait dynamics.

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Publication Details

Published
2025-05-03
DOI
https://doi.org/10.1145/3722570.3726886
Primary Topic
Gait Recognition and Analysis
Type
article
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article

Human-Centered Gait Balance Estimation Using Footstep-Induced Floor Vibrations

Yiwen Dong, Jiaxin Li
Gait Recognition and Analysis
article

Human-Centered Gait Balance Estimation Using Footstep-Induced Floor Vibrations

Yiwen Dong, Jiaxin Li
article en

Abstract

Gait balance is a critical indicator of neurological and neuromuscular conditions, such as stroke and Parkinson's disease. Estimating multiple balance features (e.g., the left/right pressure balance in the forefoot, rearfoot, and entire foot) often provides clinicians with insights that facilitate more strategic and personalized treatment plans. Existing approaches that primarily rely on pressure mats, wearable devices, camera-based systems, or direct clinical observation often impose constraints on user experience, such as discomfort, the need for active participation, and potential privacy issues. In contrast, recent advances have demonstrated that floor vibrations captured by geophone sensors can effectively reflect gait dynamics.

University of Illinois Urbana-Champaign (US), Shanghai Jiao Tong University (CN)
Openalex Percentile: Top 91%
Gait Recognition and Analysis
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