Structure- and Sampling-Adaptive Gait Balance Symmetry Estimation Using Footstep-Induced Structural Floor Vibrations
Structure- and Sampling-Adaptive Gait Balance Symmetry Estimation Using Footstep-Induced Structural Floor Vibrations
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DOI：
10.1061/(asce)em.1943-7889.0001889
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发表时间：
2021-02-01
影响因子：
3.3
通讯作者：
Noh, Hae Young
中科院分区：
文献类型：
--
作者：
Fagert, Jonathon;Mirshekari, Mostafa;Noh, Hae Young
本文提出了一种结构和采样自适应的方法来分析人的脚步引起的结构地板振动，估计脚步地面反作用力（GRF）和步态平衡对称性。平衡对称性和脚步GRF是整体步态健康和老年人跌倒风险的关键指标。先前的工作，包括由受过训练的医务人员直接观察、计算机视觉、压力传感器和基于可穿戴设备的传感，由于操作限制而受到限制。我们介绍了一种非侵入式平衡对称监测方法，它利用稀疏结构振动传感。直觉是，脚步引起的地板振动响应与脚步GRF成比例，并且可以使用连续GRF对来定义平衡对称性。然而，GRF-振动关系也受到空间变化的结构特性和步态采样偏差的影响，从而给真实世界的估计带来误差。我们首先通过提取结构区域来解决这些挑战，以克服空间变化的振动行为，然后通过开发基于内核的鲁棒回归模型来克服有偏见的训练数据，并实现鲁棒的GRF和平衡对称建模。我们通过真实实验评估了我们的方法，平衡对称指数估计准确度高达96.5%。(c)2020年美国土木工程师协会
This paper presents a structure- and sampling-adaptive approach for analyzing human footstep-induced structural floor vibrations to estimate footstep ground reaction forces (GRFs) and gait balance symmetry. Balance symmetry and footstep GRFs are critical indicators of overall gait health and elderly fall risks. Prior works, including direct observation by trained medical personnel, computer vision-, pressure sensor-, and wearable-based sensing, are limited due to operational restrictions. We introduce a nonintrusive balance symmetry monitoring approach, which utilizes sparse structural vibration sensing. The intuition is that footstep-induced floor vibration responses are proportional to footstep GRFs, and balance symmetry can be defined using consecutive GRF pairs. However, GRF-vibration relationships are also influenced by spatially-varying structural properties and gait sampling bias, introducing errors to real-world estimations. We address these challenges first by extracting structural regions to overcome spatially-varying vibration behavior and then by developing a kernel-based robust regression model to overcome biased training data and enable robust GRF and balance symmetry modeling. We evaluate our approach through real-world experiments, achieving a balance symmetry index estimation accuracy as high as 96.5%. (c) 2020 American Society of Civil Engineers.