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A Robust Methodology for the Reconstruction of the Vertical Pedestrian-Induced Load from the Registered Body Motion

Van Nimmen, Katrien ; Zhao, Guoping ; Seyfarth, André ; Van den Broeck, Peter (2024)
A Robust Methodology for the Reconstruction of the Vertical Pedestrian-Induced Load from the Registered Body Motion.
In: Vibration, 2018, 1 (2)
doi: 10.26083/tuprints-00016559
Artikel, Zweitveröffentlichung, Verlagsversion

Kurzbeschreibung (Abstract)

This paper proposes a methodology to reconstruct the vertical GRFs from the registered body motion that is reasonably robust against measurement noise. The vertical GRFs are reconstructed from the experimentally identified time-variant pacing rate and a generalised single-step load model available in the literature. The proposed methodology only requires accurately capturing the body motion within the frequency range 1–10 Hz and does not rely on the exact magnitude of the registered signal. The methodology can therefore also be applied when low-cost sensors are used and to minimize the impact of soft-tissue artefacts. In addition, the proposed procedure can be applied regardless of the position of the sensor on the human body, as long as the recorded body motion allows for identifying the time of a nominally identical event in successive walking cycles. The methodology is illustrated by a numerical example and applied to an experimental dataset where the ground reaction forces and the body motion were registered simultaneously. The results show that the proposed methodology allows for arriving at a good estimate of the vertical ground reaction forces. When the impact of soft-tissue artefacts is low, a comparable estimate can be obtained using Newton’s second law of motion.

Typ des Eintrags: Artikel
Erschienen: 2024
Autor(en): Van Nimmen, Katrien ; Zhao, Guoping ; Seyfarth, André ; Van den Broeck, Peter
Art des Eintrags: Zweitveröffentlichung
Titel: A Robust Methodology for the Reconstruction of the Vertical Pedestrian-Induced Load from the Registered Body Motion
Sprache: Englisch
Publikationsjahr: 16 Januar 2024
Ort: Darmstadt
Publikationsdatum der Erstveröffentlichung: 2018
Ort der Erstveröffentlichung: Basel
Verlag: MDPI
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Vibration
Jahrgang/Volume einer Zeitschrift: 1
(Heft-)Nummer: 2
DOI: 10.26083/tuprints-00016559
URL / URN: https://tuprints.ulb.tu-darmstadt.de/16559
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Herkunft: Zweitveröffentlichung DeepGreen
Kurzbeschreibung (Abstract):

This paper proposes a methodology to reconstruct the vertical GRFs from the registered body motion that is reasonably robust against measurement noise. The vertical GRFs are reconstructed from the experimentally identified time-variant pacing rate and a generalised single-step load model available in the literature. The proposed methodology only requires accurately capturing the body motion within the frequency range 1–10 Hz and does not rely on the exact magnitude of the registered signal. The methodology can therefore also be applied when low-cost sensors are used and to minimize the impact of soft-tissue artefacts. In addition, the proposed procedure can be applied regardless of the position of the sensor on the human body, as long as the recorded body motion allows for identifying the time of a nominally identical event in successive walking cycles. The methodology is illustrated by a numerical example and applied to an experimental dataset where the ground reaction forces and the body motion were registered simultaneously. The results show that the proposed methodology allows for arriving at a good estimate of the vertical ground reaction forces. When the impact of soft-tissue artefacts is low, a comparable estimate can be obtained using Newton’s second law of motion.

Freie Schlagworte: human-induced loading, human-induced vibrations, vibration serviceability, indirect force measurements, motion tracking
Status: Verlagsversion
URN: urn:nbn:de:tuda-tuprints-165593
Zusätzliche Informationen:

This article belongs to the Special Issue Vibration Serviceability of Civil Engineering Structures

Sachgruppe der Dewey Dezimalklassifikatin (DDC): 600 Technik, Medizin, angewandte Wissenschaften > 624 Ingenieurbau und Umwelttechnik
700 Künste und Unterhaltung > 796 Sport
Fachbereich(e)/-gebiet(e): 03 Fachbereich Humanwissenschaften
03 Fachbereich Humanwissenschaften > Institut für Sportwissenschaft
Zentrale Einrichtungen
Zentrale Einrichtungen > Centre for Cognitive Science (CCS)
Hinterlegungsdatum: 16 Jan 2024 10:41
Letzte Änderung: 18 Jan 2024 14:23
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