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/ Generating Motion by Optimizing The Rowat and Silverstone of Neural Oscillator for Defining Human Gait Patterns

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Authors

  • Esra Abdalftah Alshibani Alshibani Mathematical Department, Faculty of Science Azzaytuna University
  • Abdalftah Elbori Department of Mathematics Faculty of Science Azzaytuna University https://orcid.org/0000-0001-9796-9325

Keywords:

The Rowat and Silverstone, Mathematical Modeling of One leg, stability analysis, Optimizing, The Rowat and Silverstone, Hybrid Function

Abstract

This study discusses the effect of the Rowat and Silverstone of Neural Oscillator for Defining Human Gait ‎Patterns ‎by using both the Genetic Algorithm and hybrid function. By omitting pulse generators in the Rowat and Silverstone of Neural Oscillator, because of that it changes to a new type of Central Patterns Generator. By optimizing a new type and compare with the real data that we get from Tema Motion software. This paper will show that it is possible to produce rhythmic patterns like the rhythmic patterns derived from real data without any sensor feedback. This study will also be concerned with the most effective parameters of the Rowat and Silverstone Neural Oscillator

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Author Biography

Abdalftah Elbori, Department of Mathematics Faculty of Science Azzaytuna University

https://www.researchgate.net/messages/133231890

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Published

2024-09-07

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How to Cite

[1]
Esra Abdalftah Alshibani Alshibani and . A. . E. G. E. Elbori, “/ Generating Motion by Optimizing The Rowat and Silverstone of Neural Oscillator for Defining Human Gait Patterns : /”, SJST, vol. 6, no. 2, pp. 150–167, Sep. 2024.

Issue

Vol. 6 No. 2 (2024)

Section

Science and Technology

License

Copyright (c) 2024 Surman Journal of Science and Technology

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.