Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 6, Issue 2


Published
on

November 22, 2021


Pages

21-30


DOI

Article

Human gait modelling and tracking based on motion functionalisation


Authors

Ruxun Sun Affiliation:
Henan Polytechnic, Zhengzhou, Henan 450046, China
, Sanaa Sharaf Affiliation:
Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia
and Basel Jamal Ali Affiliation:
Department of Accounting and Finance, Faculty of Administrative Sciences, Applied Science University, Al Eker, Kingdom of Bahrain


Abstract

This paper proposes a mathematical function movement model based on the gait movement of the human body and, in particular, on the trajectory of the limbs during human movement. The article systematically measures and experimentally deals with the trajectory of the limbs of 40 students in the walking movement. The linear high-order polynomial fitting method eliminates the motion error. Simultaneously, the linear relationship least square method is used to obtain the expression of the limb motion function. Finally, the mathematical model of the limb motion trajectory is obtained. It is verified through experiments that the model proposed in the thesis can calculate the law of limb movement and movement parameters of any person under normal walking movement. This research has high research value for human movement rehabilitation and the design of wearable equipment.


Keywords

Human motion, motion functionalisation, gait modelling, least square method, polynomial fitting method, 62J12


Citation

Sun, R., Sharaf, S., & Ali, B. J. (2021). Human gait modelling and tracking based on motion functionalisation. Applied Mathematics and Nonlinear Sciences, 6(2), 21–30. https://doi.org/10.2478/amns.2021.2.00087

Published by: Engineering Journals

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