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 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.