Modeling and experimental validation of walking processes

• Autorzy: Nigmatullin Raoul R. , Morozov Arsenii L. , Awrejcewicz Jan , Ludwicki Michal

Identyfikatory

DOI

10.1016/j.bbe.2019.03.005

• Języki publikacji: EN

Abstrakty

EN

The so-called intermediate model (IM) was applied in the paper to quantitatively describe complex trajectories. Using this model it was possible to find the proper fitting function for describing random trajectories that were recorded during the walking process performed by a volunteer. Experimental data were acquired using a three-dimensional Motion Capture system during normal gait of a healthy person on an automatic treadmill. The major aim of this research was to find if the IM is applicable to fit typical biomechanical measurement data. Motion Capture data collection is very time-consuming and requires a lot of memory, so storing movement trajectories in a parametric form helps to increase the data processing efficiency and mathematical analysis. As a result of the original treatment procedure described in this paper, we obtained a very accurate fit of the measured data. The results of this research can be used to model the movement of mechanical devices and for diagnostic purposes.

Słowa kluczowe

EN

intermediate model; motion capture system; human gait; treadmill; quasi-reproducible experiment

PL

model pośredni; system rejestracji ruchu; chód człowieka; bieżnia

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2020
• Tom: Vol. 40, no. 1
• Strony: 200--210
• Opis fizyczny: Bibliogr. 15 poz., rys., tab., wykr.

Twórcy

autor

Nigmatullin Raoul R.

• Kazan National Research Technical University, Radioelectronics and Informative-Measurements Technics Department, Karl Marx str., 10, Kazan, Tatarstan 420111, Russian Federation

autor

Morozov Arsenii L.

• Kazan National Research Technical University, Radioelectronics and Informative-Measurements Technics Department, Karl Marx str., 10, Kazan, Tatarstan 420111, Russian Federation

autor

Awrejcewicz Jan

• Lódz University of Technology, Department of Automation, Biomechanics and Mechatronics, 1/15 Stefanowski Street, Lódz 90-924, Poland

autor

Ludwicki Michal

• Lódz University of Technology, Department of Automation, Biomechanics and Mechatronics, 1/15 Stefanowski Street, Lódz 90-924, Poland

Bibliografia

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• [12] Nigmatullin RR, Zhang W, Yang R, Lu Y, Maione G. ‘‘Universal’’ fitting function for quantitative description of quasi-reproducible measurements. Comput Commun Collab 2017;5:8–34.
• [13] Hak L, Houdijk H, van der Wurff P, Prins MR, Mert A, Beek PJ, et al. Stepping strategies used by post-stroke individuals to maintain margins of stability during walking. Clin Biomech 2013;28:1041–8. http://dx.doi.org/10.1016/J.CLINBIOMECH.2013.10.010.
• [14] Crane E, Gross M. Motion capture and emotion: affect detection in whole body movement. Affective computing and intelligent interaction. Berlin, Heidelberg: Springer; 2007. p. 95–101. http://dx.doi.org/10.1007/978-3-540-74889-2_9.
• [15] Kuzmych O, Awrejcewicz J, Aitouche A, Bahniuk N. Robust control for human postural balance: design and simulation. Proceedings of the 7th International Conference on Systems and Control; 2018. p. 454–61.

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).