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Probabilistic estimation of the dynamic gait parameters
1
Institute of Applied Mechanics, Poznan University of Technology, Poznan, Poland
2
Institute of Structural Analysis, Poznan University of Technology, Poznan, Poland
3
Faculty of Civil Engineering, Architecture & Environmental Engineering, Lodz University of Technology, Lodz, Poland
Submission date: 2024-12-08
Final revision date: 2025-02-18
Acceptance date: 2025-03-06
Online publication date: 2025-09-10
Corresponding author
Michał Guminiak
Wydział Inżynierii Lądowej i Transportu, Instytut Analizy Konstrukcji, Zakład Mechaniki Budowli, Politechnika Poznańska, Piotrowo 5, 60-965, Poznań, Poland
Wydział Inżynierii Lądowej i Transportu, Instytut Analizy Konstrukcji, Zakład Mechaniki Budowli, Politechnika Poznańska, Piotrowo 5, 60-965, Poznań, Poland
KEYWORDS
dynamic gait parameterssemi-analytical probabilistic approachstochastic perturbation techniqueMonte Carlo simulation
TOPICS
ABSTRACT
This study presents an estimation of the dynamic parameters of gait with a random approach. The data necessary for random analysis was obtained through laboratory tests. The study was conducted on a group of healthy people aged 20–25, without diagnosed musculoskeletal diseases. It consisted in walking along a several-metre-long path at free speed and recording the ground reaction forces (GRF) for both limbs using dynamometric platforms. On this basis, the basic dynamic parameters of gait, such as maxima and local minima of the stance phase were determined, and then they were subjected to stochastic analysis.
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| eISSN: | 2543-6309 |
| ISSN: | 1429-2955 |
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