Probabilistic Force Estimation and Event Localization (PFEEL) algorithm.

Autor: MejiaCruz Y; San Francisco State University, 1600 Holloway Ave, San Francisco, CA 94132, United States., Jiang Z; San Francisco State University, 1600 Holloway Ave, San Francisco, CA 94132, United States., Caicedo JM; University of South Carolina, Columbia SC, 29208, United States., Franco JM; University of South Carolina, Columbia SC, 29208, United States.
Jazyk: angličtina
Zdroj: Engineering structures [Eng Struct] 2022 Feb 01; Vol. 252. Date of Electronic Publication: 2021 Nov 17.
DOI: 10.1016/j.engstruct.2021.113535
Abstrakt: Localization of human activity using floor vibrations has gained attention in recent years. In human health technologies, floor vibrations have been recently used to estimate gait parameters to predict a patients' health status. Various methodologies such as using the characteristics of wave traveling (algorithms based on time of arrival) or the properties of structures (Force Estimation and Event Localization, FEEL, algorithm) have been investigated to localize the impact, fall, or step events. This paper presents a probabilistic approach that builds upon the FEEL algorithm to offer the advantage of eliminating the need for a robust experimental setup. The proposed Probabilistic Force Estimation and Event Localization (PFEEL) algorithm provides a probabilistic measure to an event's force estimation and localization using random variables associated with the floor's dynamics. The algorithm can also guide calibration by identifying calibration points that provide the maximum information. This reduces the number of calibration points needed, which has practical benefits during the implementation. In this manuscript, we presented the design, development, and validation of the algorithm.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Databáze: MEDLINE
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