Approximating the relationship among the degree of the reaction forces and the nodes on footprint during a stance phase

Bani Hashim, Ahmad Yusairi and Noor Azuan , Abu Osman and Wan Abas, Wan Abu Bakar and Abdul Latif , Lydia (2011) Approximating the relationship among the degree of the reaction forces and the nodes on footprint during a stance phase. Applied Mathematical Modelling, x (x). pp. 1-7. ISSN 0307-904X (In Press)


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This study examined the foot biomechanics that are utilized when foot is in contact with the ground during a stance phase. The purpose of the study was to investigate the normalized ground reaction forces that impacted certain sections and points on the footprint, and to identify patterns in the degrees to which these forces occurred. Foot was modeled in such a manner that a vertex represented a bone and an edge represented a joint, and a graph that depicted the foot was created. Twelve nodes were marked on the footprint and these were linked together to create a gait path. By fusing the graph and the gait path and by manipulating the mathematical models, a profile for an ideal bipedal walking locomotion was developed. A male subject performed bipedal walking through a force plate system in order to obtain the profile that reflected actual bipedal walking. The actual and the proposed profiles were compared and there were significant similarities between the two profiles, with both exhibiting an double-bump pattern. It is therefore viable that the approximation techniques proposed in this work may provide an alternative means over the application of a force plate system to generate a profile for bipedal walking. However, the accuracy and reliability of the results yielded from this technique need further investigation.

Item Type: Article
Uncontrolled Keywords: Bipedal walking, Edge, Graph, Vertex, Vertical ground reaction force
Subjects: R Medicine > RZ Other systems of medicine
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Manufacturing Engineering > Department of Robotics and Automation
Depositing User: Dr. Ahmad Yusairi Bani Hashim
Date Deposited: 17 Jul 2012 05:15
Last Modified: 24 May 2023 15:52
Statistic Details: View Download Statistic

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