Footstep localization and force estimation through structural vibrations using the FEEL Algorithm.
Footstep localization and force estimation through structural vibrations using the FEEL Algorithm.
复制标题
使用 FEEL 算法通过结构振动进行足迹定位和力估计。
DOI：
10.1016/j.measurement.2022.111247
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Davis,BenjaminT
中科院分区：
文献类型：
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作者：
Davis,BenjaminT
在智能环境中，定位空间内的个人具有许多潜在用途。许多不同的技术已被探索，虽然隐私问题，需要佩戴设备，和/或广泛的建筑改造已经提出了采用的挑战。由脚步引起的结构振动已经被证明可以克服这些挑战，尽管当前的方法依赖于飞行时间变化。本文介绍了使用的力估计和事件定位（FEEL）算法，利用较低的采样率，较少的传感器，比飞行时间的方法对定位的人等。FEEL的力估计和SDFE定位方法的改进，另外提出了证明精度的增加。使用改进的FEEL对1100个脚步进行分析，获得了98.6%的定位准确度。通过FEEL估计地面力反应（GRF），并用于估计参与者体重比（BWR）。估计的BWR在以前的工作中报告的范围内赤脚和鞋的情况下。
Locating individuals within a space has numerous potential uses within a smart environment. Many different technologies have been explored towards this end though privacy-concerns, the need to wear a device, and/or extensive building modifications have presented challenges towards adoption. Structural vibrations caused by footsteps have been shown to overcome these challenges though current methods rely on time-of-flight variations. This paper presents the use of the Force Estimation and Event Localization (FEEL) Algorithm that utilizes lower sampling rates, less sensors, etc than time-of-flight methods towards locating persons. Improvements to FEEL’s force estimation and SDFE localization method are additionally presented with demonstrated increases in accuracy. Analysis of 1100 footsteps resulted in 98.6% localization accuracy using the improved FEEL. Ground force reactions (GRF) were estimated by FEEL and used to estimate participant body–weight-ratios (BWR). Estimated BWRs were within ranges reported in previous works for both barefoot and shoe cases.