ObjectiveTo investigate whether there is a correlation in plantar pressure when the same person wears different types of shoes, and to explore the possibility of distinguishing between cloth shoes and casual shoes based on plantar ptessure patterns.MethodsThe Footscan plantar pressure gait analysis system was used to record the magnitude and distribution of plantar pressure of the subjects during normal walk when wearing cloth shoes or casual shoes. IBM SPSS Statistics 24.0 was used for data analysis, and Kendall's W test was used to assess the consistency of peak pressure and impulse across different plantar regions, analyzing the stability of the plantar pressure distribution in each area. Kendall’s tau-b correlation test was used to examine the correlation for peak pressure and impulse between barefoot and shod conditions. Discriminant analysis was used to establish a functional model to compare the plantar pressure of the same person wearing different types of shoes.ResultsThe distribution of plantar pressure in each region was relatively stable, and there were significant correlations between plantar pressure patterns when wearing cloth shoes and casual shoes. Discriminant analysis has high accuracy in distinguishing the plantar pressure patterns of the same person wearing different shoes.ConclusionDuring normal walking, the plantar pressure patterns of the same person wearing cloth shoes and causal shoes are significantly correlated and can be accurately classified, which supplements the theoretical basis of gait analysis.