The Application of Fuzzy Algorithm in Gait Kinematics

Author

Zhang, Lixun ; Zhao, Lingyan ; Wang, Lan

Author_Institution

Coll. of Mech. & Electr. Eng., Harbin Eng. Univ.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

5018

Lastpage

5022

Abstract

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

Keywords

biology computing; fuzzy set theory; gait analysis; kinematics; MATLAB software; biomedical engineering; fuzzy algorithm; fuzzy inference chart; fuzzy rule; gait kinematics; motion amplitude; pelvis locomotion; rehabilitation engineering; simulation analysis; Analytical models; Data analysis; Fuzzy sets; Inference algorithms; Kinematics; Legged locomotion; MATLAB; Mathematical model; Pelvis; Software tools; MATLAB; fuzzy algorithm; gait; kinematics; pelvis locomotion;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713343

Filename

1713343