The Application of Fuzzy Algorithm in Gait Kinematics

In order to acquire the normal gait parameters and variation rules, the fuzzy algorithm was introduced for processing experimental data. The effect of the normal subject's height and walking speed on the motion amplitude of the pelvis was chosen as an example, and the experimental study on the...

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Bibliographic Details
Published in:2006 6th World Congress on Intelligent Control and Automation Vol. 1; pp. 5018 - 5022
Main Authors: Lixun Zhang, Lingyan Zhao, Lan Wang
Format: Conference Proceeding
Language:Chinese
English
Published: IEEE 2006
Subjects:
Analytical models
Data analysis
fuzzy algorithm
Fuzzy sets
gait
Inference algorithms
Kinematics
Legged locomotion
Mathematical model
MATLAB
Pelvis
pelvis locomotion
Software tools
ISBN:9781424403325, 1424403324
Online Access:Get full text
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Summary:In order to acquire the normal gait parameters and variation rules, the fuzzy algorithm was introduced for processing experimental data. The effect of the normal subject's height and walking speed on the motion amplitude of the pelvis was chosen as an example, and the experimental study on the gait parameters of 30 males was completed. By analyze the experimental data the fuzzy rule and fuzzy inference chart were set up. The simulation analysis was implemented by the fuzzy toolbox of MATLAB software, and the experimental validation was carried out. The research results accord with the theoretical model. It illustrates the feasibility and accuracy of the fuzzy algorithm. This study has important application value in the fields of biomedical and rehabilitation engineering
ISBN:9781424403325
1424403324
DOI:10.1109/WCICA.2006.1713343